A Paper List of Yanjie Ze

Topics (curated views of the inbox below):

Robot learning

• Self-Improving Robots & Agents
• World Models & World-Action Models
• Human Video → Robot Learning
• Robot Foundation Models
• Humanoid / Awesome Humanoid Robot Learning
• Dexterous Manipulation
• Robotic Manipulation / Mobile Manipulation / Locomotion
• 3D Robot Learning
• Visual RL / Imitation / Robot Learning / Reinforcement Learning / Diffusion for Robotics

Vision, generative models and ML

• 3D Vision / Gaussian Splatting / 3D Generation / Graphics
• Diffusion Model / Generative Model
• LLM / Self-Supervised Learning / Visual Recognition

Other

• Best Papers / Misc

Papers:

• 2025
  • RSS 2025
  • CVPR 2025
  • ICLR 2025 scores
• 2024
  • CoRL 2024 / statistics
  • RSS 2024
  • 3DV 2024
  • CVPR 2024 / interactive overview
  • ICLR 2024 / scores
• 2023
  • NeurIPS 2023
  • CoRL 2023
  • ICCV 2023
  • ICML 2023
  • SIGGRAPH 2023
  • RSS 2023
  • CVPR 2023
  • ICLR 2023
• 2022
  • NeurIPS 2022

Recent Random Papers

• arXiv 2026.11, AIRoA-0: Long-Horizon, Precise, Cross-Embodiment Manipulation from Handheld Data
• arXiv 2026.11, PrimeSim: A Generalist World Model Simulator from Large-Scale Cross-Embodiment Demonstrations
• arXiv 2026.11, Hybrid Particle-Voxel Dynamics for Multimodal 3D World Simulation
• arXiv 2026.11, Pixel: A Co-Designed Full-Stack Robot System for Learning General-Purpose Mobile Manipulation
• arXiv 2026.11, RoboColosseum: Evaluating Physical Intelligence at Scale In-The-Wild
• arXiv 2026.10, Movens-Zero: Scaling Humanoid Motion Foundation Models with Large-Scale Human Videos
• arXiv 2026.10, WorldBridge: Bridging Video and Action for Task Generalization in World Action Models
• arXiv 2026.10, ∇Mimic: Ultra-Efficient Humanoid Control with Differentiable Simulation
• arXiv 2026.10, RynnVLA-Latent: Scaling Robotic Manipulation Foundation Models with 3D-Grounded Latent Actions
• arXiv 2026.10, Training Foundation Models with a Single Algorithm
• arXiv 2026.10, What Does World Modeling Actually Improve in Robot Action Learning?
• arXiv 2026.10, ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
• arXiv 2026.10, Vision-Language-Action or World-Action? Just Action Models
• arXiv 2026.10, Understanding the limits of latent world models
• arXiv 2026.10, Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis
• arXiv 2026.10, UniAction: Unified Action Conditioning for World Models
• arXiv 2026.10, Ψ-0.6: Adaptive Streams of Thought in a Unified Vision-Language World Model
• arXiv 2026.10, FLORA: An Open Model Suite for Scaling Robotics Data Engines
• arXiv 2026.10, DRILL: Training World Models to Improve Policies, Not Predict Pixels
• arXiv 2026.10, Agentic World Action Models
• arXiv 2026.10, SpatialDex: Learning Bimanual Dexterity from RGB-Only Human Videos with Spatial Context
• arXiv 2026.10, Real2Sem2Real: 3D Semantic Augmentations for Robot Learning from a Single Human RGB Demonstration
• arXiv 2026.10, SuperMimic: Scaling Humanoid Whole-Body Control with One Differentiable World Model
• arXiv 2026.10, Training Controllable World Models via Action Influence Maximization
• arXiv 2026.10, Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience
• arXiv 2026.10, Learning from Fleet Experience: A Collective Learning Paradigm for Robots
• arXiv 2026.10, Text-to-Image Generative Modeling Without Language Pretraining
• arXiv 2026.10, Scaling Online Exploration for Robot Agents
• arXiv 2026.10, Whole-Body Dexterity
• arXiv 2026.10, Dexterity from Supervised Play
• arXiv 2026.10, Spark-0: Scaling Spatially Aligned Tactile Pretraining for Robot Dexterous Manipulation
• arXiv 2026.10, What Should Robot Policies Learn to Predict? Rethinking Supervision Targets in Vision-Language-Action Learning
• arXiv 2026.10, AlphaNIST: Emergent Assembly Skills from Binary Task Rewards
• arXiv 2026.10, Forward Dynamics Models
• arXiv 2026.10, What Visual Representations Do World Action Models Need?
• arXiv 2026.10, Evo-RL: Iterative Robot Reinforcement Learning from Selective Experience
• arXiv 2026.10, RoboJEPA: Scaling Robotic Latent World Models
• arXiv 2026.10, LeWAM: A JEPA World Action Model with Diffusion-Steering-Based MPC
• arXiv 2026.10, Embodied Turing Machines: Stateful Code for Robot Recursive Self-Improvement
• arXiv 2026.10, What 30,000 Hours of Ego-centric Video Does Not Teach
• arXiv 2026.10, UNITAS: A 3D-Native World Action Model for Embodied Manipulation
• arXiv 2026.10, DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training
• arXiv 2026.10, Dex-One2Many: Learning Dexterous Manipulation from a Single Human Demonstration
• arXiv 2026.10, VioLA: Learning Generalist Humanoid Control Policies from Human Data
• arXiv 2026.10, Cross-Embodiment Robot Foundation World Models with Latent Actions
• arXiv 2026.10, A Balanced Data Diet: Addressing the Exploration Bottleneck in Mega-Scale RL for Robot Control
• arXiv 2026.10, ARC: A Reasoning Recipe for Robot Foundation Models
• arXiv 2026.10, InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation
• arXiv 2026.10, H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
• arXiv 2026.10, Mulligan: Performance-Guided Data Collection for Efficient On-Robot Learning
• arXiv 2026.10, Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies
• arXiv 2026.10, Native Action-Prior Learning from Videos for World Action Models
• arXiv 2026.10, MoSE3: Learning World-Space SE(3) at Every Pixel
• arXiv 2026.10, Mastering Atari 2600 Games with Discovered Options
• arXiv 2026.10, Planning to Learn
• arXiv 2026.09, Magic-W0: A Structured World-Action Foundation Model for Physical Intelligence
• arXiv 2026.09, Dream4ACT: A Shared Visual Action Interface for Multi-Embodiment Video-Action Modeling
• arXiv 2026.10, Reconstruct, Practice, Go Real: Guided Self-Improvement for Embodied Agents
• arXiv 2026.10, When Do Intrinsic Rewards Lead to Exploration?
• arXiv 2026.10, Finetuning with Sampling: SFT Learns Better Than You Think
• arXiv 2026.10, World Motion Models: Flexible Sequence Modeling of SE(3) Trajectories
• arXiv 2026.10, DITTO-X: Forward and Reverse Teleoperation for Dexterous Manipulation and Human Intervention
• arXiv 2026.10, Towards a General Humanoid Loco-Manipulation Model via Egocentric Whole-Body Human Data Pretraining
• arXiv 2026.09, Skill-Space Shooting for Autonomous Robot Policy Improvement
• arXiv 2026.09, Imagine3D-LLM: Teaching MLLMs to Imagine 3D Scenes Before Answering
• arXiv 2026.09, Counterfactual Video Generation Enables Scalable Humanoid Loco-Manipulation
• arXiv 2026.09, Rethinking Representations for World-Action Modeling
• arXiv 2026.09, Context Language Models
• arXiv 2026.09, Hard Vision, Easy Vision: What GPT-6 Astra Reveals Across Computer Vision
• arXiv 2026.09, X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets
• arXiv 2026.09, RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
• arXiv 2026.09, Find Something You Can't Do: Agentic Real-World Reinforcement Learning for Self-Improving VLA Models
• arXiv 2026.09, HapticWorld: an Interactive World Simulator with Real-time Torque Feedback
• arXiv 2026.09, RAPID: Robot Agentic Programming from Demonstrations
• arXiv 2026.09, PoEM: Predicting RL Outcomes from Existing Policies
• arXiv 2026.09, TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations
• arXiv 2026.09, Self-Adaptive VLA for Robust Robot Deployment
• arXiv 2026.09, Morphometric Imitation
• arXiv 2026.09, Tactile Curiosity Drives Robot Interaction
• arXiv 2026.09, Ego4WAM: What Matters When Scaling Egocentric Human Data for Robot Learning?
• arXiv 2026.09, IronMind: Scaling Humanoid Dexterous Manipulation via Camera-Space Ego-Centric Pretraining
• arXiv 2026.09, Scaling Laws for Looped Mixture of Experts
• arXiv 2026.09, GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
• arXiv 2024.07, Autonomous Improvement of Instruction Following Skills via Foundation Models
• arXiv 2026.09, InternW0-Δ: A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data
• arXiv 2026.09, Generate, Track, Improve: Perceptive Multi-Skill Humanoid Locomotion with RL-Fine-Tuned Motion Generators
• arXiv 2026.09, Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
• arXiv 2026.09, Entropy Regularization: A Free Correction to Cross-Entropy for Verified Demonstrations
• arXiv 2026.09, HuGo: LLMs as Whole-Body Policy Code Designers for Humanoid Loco-Manipulation
• website, FLUX 3 Action
• arXiv 2026.09, Generalizable Robotic Insertion with World Models
• arXiv 2026.09, Beyond Future Prediction: Denoising as Generative Adaptation for Robot Control
• arXiv 2026.09, InternW0: A Foundational Physical World Model for Efficient Real-World Interactions
• arXiv 2026.09, LiMA: Bridging Long-term Imagination to Real-time Dexterous Manipulation via Asynchronous Diffusion
• arXiv 2026.09, On the Diffusibility of High-Dimensional Latents
• website, We Looked at the Data
• website, EmbodiedSWE: Coding Agents for Long-Horizon Dexterous Robotics
• arXiv 2026.09, Recursive self-improvement of AI research agents
• arXiv 2026.09, An Action Is Worth One Patch: Unified World-Action Modeling with PatchWAM
• arXiv 2026.09, PAKT: Physically-Aligned Kinesthetic Teaching for Reinforcement Learning
• arXiv 2026.09, MachEmbodied-U0: Unified Understanding and Generation Model for Embodied Intelligence
• arXiv 2026.09, Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning
• arXiv 2020.05, GLU Variants Improve Transformer
• arXiv 2026.09, DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation
• arXiv 2026.09, AgentSTAR: Agentic Shape Tracking and Reconstruction from Monocular Videos
• arXiv 2026.09, RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
• arXiv 2026.09, GAE: Learning a Geometry-Native Latent Space for 3D-Consistent World Generation
• arXiv 2026.09, Learning Beyond What Humans Can Demonstrate
• arXiv 2026.09, SeeQ: Training Generalist Value Functions for Long-Horizon Robotic Manipulation
• arXiv 2026.09, GALA: Geometry-Aware Latent Action Modeling for Vision-Language-Action Model Pretraining across Embodiments
• arXiv 2026.09, SkelWAM: A Skeleton-Guided World-Action Model for Zero-Shot Cross-Embodiment Manipulation
• arXiv 2026.09, Trading Depth for Time in Recurrent Transformers
• arXiv 2026.09, LIMBO: Learning and Internalizing Model-Free Barrier Objectives for Agile and Safe Whole-Body Control
• website, Light-O1: Scaling Whole-Body Intelligence with Human Action Pretraining
• website, Introducing System One Models & Jev
• arXiv 2026.09, Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision
• arXiv 2026.09, Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
• arXiv 2026.09, Can 4D Foundation Models Remember?
• arXiv 2026.09, AthenaZero: A low-inertia, bimanual robot for dynamic manipulation
• arXiv 2026.09, dQwen3.5: Hybrid-Attention Diffusion Language Models
• arXiv 2026.09, Block Parallelism For Efficient Distributed Long-Context Diffusion Language Model Training
• arXiv 2026.09, In-Context Robot Learning with VLM Agents
• arXiv 2026.09, PointZero: 3D Point Track Completion for Learning Transferable 3D Dynamics
• arXiv 2026.09, PASSAGE: Scaling Scene-Aligned Motion Learning for Perceptive Humanoid Traversal in Cluttered Environments
• arXiv 2026.09, TabPFN-3.5: Technical Report
• arXiv 2026.09, Locating Hidden Failures Makes Long-Horizon Agents More Reliable
• arXiv 2026.09, Modality-Autoregressive World-Action Models
• arXiv 2026.09, XPACE: Joint World and Action Modeling from Heterogeneous Experience
• arXiv 2026.09, Large Language Models Develop Belief State Geometry In-Context
• arXiv 2026.09, PhysStream: Streaming Physics-Grounded Video Generation with Structured Scene Memory and Fine-Grained Motion Control
• arXiv 2026.09, OPEN-1B: A Fully Auditable Training Run
• website, An Unexpected Robot Policy: Early Evaluations of GPT-6 Astra on RoboDojo and Beyond
• website, FailBench: How Reliable are VLMs at Judging Robot Task Success?
• website, TwinDEX: A Twinned System for Dexterous Manipulation from Robot-Free Data
• website, Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models
• website, Fast-WAM: Do World Action Models Need Test-time Future Imagination?
• website, Spirit-v1.5: Clean Data Is the Enemy of Great Robot Foundation Models
• website, Behavioral cloning mystery
• arXiv 2026.08, EXIMO: VLM Guided Exploration of VLA Policies
• arXiv 2026.03, UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos
• website, XL-VLA: Cross-Hand Latent Representation for Vision-Language-Action Models
• website, FetchMan: Learning Visual Humanoid Loco-Manipulation Policies from Simulated Experiences
• website, EgoSuite-Open100K
• website, Gen-1.5
• arXiv 2026.08, Keep the Future, Drop the Rollout: RIFT for World Action Models
• arXiv 2026.08, G0.5: One Autoregressive Stream for Robot Reasoning and Action
• website, NestDex: Nested Policy Learning with Copilot Assisted Teleoperation for Dexterous Manipulation
• arXiv 2020.01, Scaling Laws for Neural Language Models
• arXiv 2026.06, Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
• website, Pre-training Visual Dexterity in Simulation
• arXiv 2026.05, Dexora: Open-source VLA for High-DoF Bimanual Dexterity
• arXiv 2026.04, Motubrain: An Advanced World Action Model for Robot Control
• arXiv 2026.08, Why Does Action Chunking Improve Behavioral Cloning Performance in Robotic Control?
• arXiv 2026.07, Current as Touch: Proprioceptive Contact Feedback for Compliant Dexterous Manipulation
• arXiv 2026.06, LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies
• arXiv 2026.05, Being-H0.7: A Latent World-Action Model from Egocentric Videos
• arXiv 2026.06, Vesta: A Generalist Embodied Reasoning Model
• arXiv 2026.06, ATOM-Bench: A Real-World Benchmark for Atomic Skills and Compositional Generalization in Manipulation Policies
• arXiv 2025.05, VLAs are Confined yet Capable of Generalizing to Novel Instructions
• arXiv 2026.05, FineVLA: Fine-Grained Instruction Alignment for Steerable Vision-Language-Action Policies
• arXiv 2026.08, Flex-π: A Multi-Stream World-Action Model with Compute Flexibility
• github, Scaling Mixture-of-Experts Video Pretraining for Embodied Intelligence
• website, Video Generation Models are General-Purpose Vision Learners
• website, LightParkour: Growing Humanoid Parkour Skills through Real2Sim2Real
• website, Shooting for Contact: Contact-Implicit Multiple Shooting for Dynamic Motion Retargeting
• website, Towards the Harness of Embodied Agents
• website, Towards Machines with a Thousand Hands
• website, Introducing FLUX-mimic: Scaling Video-Action Models for General Purpose Dexterity
• website, COSA 0.5
• website, Claude plays robotics
• website, A global workspace in language models
• website, Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-design
• website, GPC: Large-Scale Generative Pretraining for Transferable Motor Control
• arXiv 2026.06, WARP: Whole-Body Retargeting for Learning from Offline Human Demonstrations
• arXiv 2026.06, VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes
• arXiv 2026.06, OmniContact: Chaining Meta-Skills via Contact Flow for Generalizable Humanoid Loco-Manipulation
• arXiv 2026.06, CoorDex: Coordinating Body and Hand Priors for Continuous Dexterous Humanoid Loco-Manipulation
• arXiv 2026.06, ART-Glove: Articulated Tactile Glove for Contact-Grounded Dexterous Interaction Capture
• arXiv 2026.06, Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
• arXiv 2026.06, Generating Robot Hands from Human Demonstrations
• website, ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
• arXiv 2026.06, TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
• arXiv 2026.06, Human Universal Grasping
• website, Universal Manipulation Exoskeleton Learning Compliant Whole-body Policies with Real-time Torque Feedback
• website, Awesome UMI
• arXiv 2026.05, Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generation
• github, GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
• arXiv 2026.06, MotionDisco: Motion Discovery for Extreme Humanoid Loco-Manipulation
• arXiv 2026.06, Cosmos 3: Omnimodal World Models for Physical AI
• website, Shape Your Body: Value Gradients for Multi-Embodiment Robot Design
• website, ExtremControl: Low-Latency Humanoid Teleoperation with Direct Extremity Control
• website, HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning and Adaptation
• RSS 2024, 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations, Website
• arXiv 2026.05, Dexora: Open-source VLA for High-DoF Bimanual Dexterity
• 1968, The Kinematics of Manipulators Under Computer Control
• arXiv 2026.05, Articraft: An Agentic System for Scalable Articulated 3D Asset Generation
• arXiv 2026.05, DexJoCo: A Benchmark and Toolkit for Task-Oriented Dexterous Manipulation on MuJoCo
• arXiv 2026.03, CaP-X: A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
• arXiv 2025.12, Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
• website, Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
• website, True Self-Supervised Novel View Synthesis is Transferable
• arXiv 2025.09, Psychologically Enhanced AI Agents
• arXiv 2024.08, Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
• website, A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
• arXiv 2025.07, Reinforcement Learning with Action Chunking
• arXiv 2025.06, DexWrist: A Robotic Wrist for Constrained and Dynamic Manipulation, website
• arXiv 2025.06, Versatile Loco-Manipulation through Flexible Interlimb Coordination, website
• arXiv 2025.06, Feel the Force: Contact-Driven Learning from Humans
• SIGGRAPH 2025, RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination, website
• Science Robotics, High-speed control and navigation for quadrupedal robots on complex and discrete terrain
• Science Robotics, Learning coordinated badminton skills for legged manipulators
• arXiv 2025.04, DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Cluttered Environments, website
• arXiv 2025.04, ORCA: Open-Source, Reliable, Cost-Effective, Anthropomorphic Robotic Hand for Uninterrupted Dexterous Task Learning, website
• arXiv 2025.04, One-Minute Video Generation with Test-Time Training, website
• arXiv 2025.01, Vid2Sim: Realistic and Interactive Simulation from Video for Urban Navigation, website
• arXiv 2023.05, Data-Free Learning of Reduced-Order Kinematics, arXiv
• arXiv 2024.04, ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning, website
• arXiv 2021.09, Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior, arXiv
• arXiv 2023.10, Grasp Multiple Objects with One Hand, website
• arXiv 2025.03, Learning to Play Piano in the Real World, website
• arXiv 2025.03, MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space, website
• arXiv 2025.03, Unified Video Action Model, website
• arXiv 2025.03, Scalable Real2Sim: Physics-Aware Asset Generation Via Robotic Pick-and-Place Setups, website
• arXiv 2025.03, Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding, arXiv
• arXiv 2025.02, InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions, arXiv
• arXiv 2025.02, LiDAR Registration with Visual Foundation Models, website
• arXiv 2025.02, FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning, website
• arXiv 2025.02, DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning, website
• arXiv 2025.02, AnyDexGrasp: Learning General Dexterous Grasping for Any Hands with Human-level Learning Efficiency, website
• IEEE Transactions on Human-Machine Systems 2015, The GRASP Taxonomy of Human Grasp Types, website
• Science Robotics, Intrinsic sense of touch for intuitive physical human-robot interaction, website
• arXiv 2025.02, Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation, website
• arXiv 2025.02, RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets, arXiv
• arXiv 2025.02, Robot Data Curation with Mutual Information Estimators, website
• arXiv 2024.05, Learning Force Control for Legged Manipulation, arXiv
• arXiv 2025.02, TD-M(PC)2: Improving Temporal Difference MPC Through Policy Constraint, website
• arXiv 2025.02, DexterityGen: Foundation Controller for Unprecedented Dexterity, website
• arXiv 2025.02, Strengthening Generative Robot Policies through Predictive World Modeling, website
• arXiv 2025.01, CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph, website
• arXiv 2025.01, Improving Vision-Language-Action Model with Online Reinforcement Learning, arXiv
• arXiv 2025.01, Physics IQ Benchmark: Do generative video models learn physical principles from watching videos?, website
• arXiv 2025.01, FAST: Efficient Robot Action Tokenization, website
• arXiv 2025.01, DAViD: Modeling Dynamic Affordance of 3D Objects using Pre-trained Video Diffusion Models, website
• arXiv 2025.01, Predicting 4D Hand Trajectory from Monocular Videos, website
• arXiv 2025.01, Learning to Transfer Human Hand Skills for Robot Manipulations, website
• arXiv 2025.01, Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding, website
• arXiv 2025.01, Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera, website
• arXiv 2024.04, Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation, website
• Cosmos: World Foundation Model Platform for Physical AI, website / github
• arXiv 2024.12, ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation, arXiv
• arXiv 2024.12, VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks, website
• arXiv 2024.12, Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations, website
• arXiv 2024.12, RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation, arXiv
• arXiv 2024.12, Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models, website
• arXiv 2024.12, Genesis: A Generative and Universal Physics Engine for Robotics and Beyond, website
• arXiv 2024.10, articulate-anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model, arXiv / website
• arXiv 2024.12, HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction, website
• arXiv 2024.12, Meta Motivo: Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models, github
• arXiv 2024.12, illusion3d: 3D Multiview Illusion with 2D Diffusion Priors, website
• arXiv 2024.12, RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning, website
• arXiv 2024.12, SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters, website
• arXiv 2024.12, Reinforcement Learning from Wild Animal Videos, website
• arXiv 2024.12, NaVILA: Legged Robot Vision-Language-Action Model for Navigation, arXiv
• arXiv 2024.12, Motion Prompting: Controlling Video Generation with Motion Trajectories, website
• arXiv 2024.12, CASHER: Robot Learning with Super-Linear Scaling, website
• arXiv 2024.12, CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation, website
• arXiv 2024.11, CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models, website
• arXiv 2024.11, Generative Omnimatte: Learning to Decompose Video into Layers, website
• arXiv 2024.11, Inference-Time Policy Steering through Human Interactions, arXiv
• arXiv 2024.11, The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control, website
• arXiv 2024.11, Learning-based Trajectory Tracking for Bird-inspired Flapping-Wing Robots, arXiv
• arXiv 2024.11, WildLMA: Long Horizon Loco-MAnipulation in the Wild, website
• SIGGRAPH ASIA 2024, CBIL: Collective Behavior Imitation Learning for Fish from Real Videos, website
• arXiv 2024.11, Learning Time-Optimal and Speed-Adjustable Tactile In-Hand Manipulation, website
• arXiv 2024.11, Soft Robotic Dynamic In-Hand Pen Spinning, website
• arXiv 2024.11, Generative World Explorer, website
• arXiv 2024.11, RoboGSim: A Real2Sim2Real Robotic Gaussian Splatting Simulator, website
• arXiv 2024.11, Moving Off-the-Grid: Scene-Grounded Video Representations, arXiv / website
• arXiv 2024.07, From Imitation to Refinement -- Residual RL for Precise Assembly, arXiv / website
• arXiv 2024.10, HIL-SERL: Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning, website / arXiv
• arXiv 2024.10, DELTA: Dense Efficient Long-range 3D Tracking for any video, website
• arXiv 2024.10, π0: A Vision-Language-Action Flow Model for General Robot Control, arXiv / website
• arXiv 2024.10, One Step Diffusion via Shortcut Models, arXiv
• arXiv 2024.10, BUMBLE: Unifying Reasoning and Acting with Vision-Language Models for Building-wide Mobile Manipulation, Website
• arXiv 2024.10, Run-time Observation Interventions: Make Vision-Language-Action Models More Visually Robust, Website
• arXiv 2024.10, MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion, Website
• arXiv 2024.10, Learning Humanoid Locomotion over Challenging Terrain, arXiv
• arXiv 2024.10, Estimating Body and Hand Motion in an Ego-sensed World, arXiv
• arXiv 2024.09, Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation, arXiv
• arXiv 2024.09, Helpful DoggyBot: Open-World Object Fetching using Legged Robots and Vision-Language Models, Website
• arXiv 2024.09 / CoRL 2024 Oral, Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction, Website
• arXiv 2024.09, Full-Order Sampling-Based MPC for Torque-Level Locomotion Control via Diffusion-Style Annealing, Website
• arXiv 2024.09, Blox-Net: Generative Design-for-Robot-Assembly using VLM Supervision, Physics Simulation, and A Robot with Reset, Website
• arXiv 2024.06, DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning, Website
• arXiv 2024.09, ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation, arXiv
• arXiv 2024.09, HOP: Hand-object interaction pretraining from videos, Website
• arXiv 2024.09, AnySkin: Plug-and-play Skin Sensing for Robotic Touch, Website
• CoRL 2024, Continuously Improving Mobile Manipulation with Autonomous Real-World RL, Website
• arXiv 2024.09, Neural MP: A Generalist Neural Motion Planner, Website
• IROS 2024, Learning to Walk and Fly with Adversarial Motion Priors, arXiv
• arXiv 2024.09, Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments, Website
• CoRL 2024, LucidSim: Learning Agile Visual Locomotion from Generated Images, OpenReview
• CoRL 2024, OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation, Website
• CoRL 2024, Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data, OpenReview
• CoRL 2024, Object-Centric Dexterous Manipulation from Human Motion Data, OpenReview
• CoRL 2024, ALOHA Unleashed: A Simple Recipe for Robot Dexterity, OpenReview
• CoRL 2024, GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion Policy, OpenReview
• CoRL 2024, Dynamic 3D Gaussian Tracking for Graph-Based Neural Dynamics Modeling, OpenReview
• CoRL 2024, D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation, OpenReview
• CoRL 2024, Action Space Design in Reinforcement Learning for Robot Motor Skills, OpenReview
• CoRL 2024, So You Think You Can Scale Up Autonomous Robot Data Collection?, OpenReview
• CoRL 2024, VISTA: View-Invariant Policy Learning via Zero-Shot Novel View Synthesis, arXiv
• arXiv 2024.08, Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling, Website
• arXiv 2024.08, Unsupervised-to-Online Reinforcement Learning, arXiv
• arXiv 2024.08, SkillMimic: Learning Reusable Basketball Skills from Demonstrations, Website
• arXiv 2024.08, ReKep: Spatio-Temporal Reasoning of Relational Keypoint Constraints for Robotic Manipulation, Website
• arXiv 2024.08, In-Context Imitation Learning via Next-Token Prediction, arXiv
• arXiv 2024.08, GameNGen: Diffusion Models Are Real-Time Game Engines, Website
• arXiv 2024.08, Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs, Website
• arXiv 2024.08, CrossFormer: Scaling Cross-Embodied Learning for Manipulation, Navigation, Locomotion, and Aviation, Website
• arXiv 2024.08, UniT: Unified Tactile Representation for Robot Learning, Website
• arXiv 2024.08, Body Transformer: Leveraging Robot Embodiment for Policy Learning, arXiv
• ICML 2024 oral, SAPG: Split and Aggregate Policy Gradients, Website
• Humanoid 2006, Dynamic Pen Spinning Using a High-speed Multifingered Hand with High-speed Tactile Sensor
• IROS 2024, Radiance Fields for Robotic Teleoperation, arXiv
• arXiv 2024.07, Lessons from Learning to Spin “Pens”, Website
• arXiv 2024.07, Flow as the Cross-Domain Manipulation Interface, arXiv
• RSS 2024, Offline Imitation Learning Through Graph Search and Retrieval, arXiv
• CVPR 2024, HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video, Website
• CVPR 2023, ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation, Website
• SIGGRAPH 2024, Neural Gaussian Scale-Space Fields, Website
• arXiv 2024.07, A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data, Website
• arXiv 2024.07, From Imitation to Refinement: Residual RL for Precise Visual Assembly,Website
• arXiv 2024.07, Shape of Motion: 4D Reconstruction from a Single Video, Website
• arXiv 2024.07, Unifying 3D Representation and Control of Diverse Robots with a Single Camera, arXiv
• arXiv 2024.07, Continuous Control with Coarse-to-fine Reinforcement Learning, Website
• arXiv 2024.07, BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark, Website
• arXiv 2024.07, Generative Image as Action Models, Website
• arXiv 2024.07, Omnigrasp: Grasping Diverse Objects with Simulated Humanoids, Website
• RSS 2024, RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing, Website
• arXiv 2024.07, EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning, Website
• arXiv 2024.07, Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning, arXiv / Website
• arXiv 2024.07, Open-TeleVision: Teleoperation with Immersive Active Visual Feedback, Website
• SIGGRAPH 2023, 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models, arXiv
• SIGGRAPH 2024 Best Paper Honorable Mention, CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets, Website
• arXiv 2024.07, UnSAM: Segment Anything without Supervision, Github
• arXiv 2024.06, Dreamitate: Real-World Visuomotor Policy Learning via Video Generation, Website
• CVPR 2024 best paper, Generative Image Dynamics, Website
• CVPR 2024 highlight, XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies, Website
• CVPR 2024 oral, DSINE: Rethinking Inductive Biases for Surface Normal Estimation, Website
• arXiv 2024.06, An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels, arXiv
• arXiv 2024.06, BAKU: An Efficient Transformer for Multi-Task Policy Learning, Website
• CVPR 2024 highlight, Image Neural Field Diffusion Models, Website
• RSS 2024, MPI: Learning Manipulation by Predicting Interaction, Website
• arXiv 2024.05, Model-based Diffusion for Trajectory Optimization, Website
• RSS 2024, RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots, Website
• CVPR 2024, OmniGlue: Generalizable Feature Matching with Foundation Model Guidance, Website
• arXiv 2024.05, Pandora: Towards General World Model with Natural Language Actions and Video States, Website
• arXiv 2024.05, Images that Sound: Composing Images and Sounds on a Single Canvas, Website
• SIGGRAPH 2024, Text-to-Vector Generation with Neural Path Representation, Website
• arXiv 2024.03, GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image, Website
• arXiv 2024.05, Toon3D: Seeing Cartoons from a New Perspective, Website
• arXiv 2024.05, TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction, Website
• RSS 2024, Natural Language Can Help Bridge the Sim2Real Gap, arXiv
• ICML 2024, The Platonic Representation Hypothesis, arXiv
• arXiv 2024.05, SPIN: Simultaneous Perception, Interaction and Navigation, Website
• RSS 2024, Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation, Website
• arXiv 2024.05, Humanoid Parkour Learning, Website
• arXiv 2024.05, Evaluating Real-World Robot Manipulation Policies in Simulation, Website
• arXiv 2024.05, ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection, Website
• arXiv 2024.04, DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets, arXiv
• arXiv 2024.05, DrEureka: Language Model Guided Sim-To-Real Transfer, Website
• arXiv 2024.05, Customizing Text-to-Image Models with a Single Image Pair, Website
• arXiv 2024.05, SATO: Stable Text-to-Motion Framework, arXiv
• ICRA 2024, Learning Force Control for Legged Manipulation, arXiv
• arXiv 2024.05, IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning, arXiv
• arXiv 2024.05, Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation, arXiv
• arXiv 2024.04, KAN: Kolmogorov-Arnold Networks, arXiv
• RSS 2023, IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality, Website
• arXiv 2024.04, Editable Image Elements for Controllable Synthesis, Website
• arXiv 2024.04, EgoPet: Egomotion and Interaction Data from an Animal's Perspective, Website
• SIIGRAPH 2023, OctFormer: Octree-based Transformers for 3D Point Clouds, Website
• arXiv 2024.04, Clio: Real-time Task-Driven Open-Set 3D Scene Graphs, arXiv
• ICCV 2023, Canonical Factors for Hybrid Neural Fields, Website
• arXiv 2024.04, HATO: Learning Visuotactile Skills with Two Multifingered Hands, Website
• arXiv 2024.04, SpringGrasp: Synthesizing Compliant Dexterous Grasps under Shape Uncertainty, Website
• ICRA 2024 workshop, Object-Aware Gaussian Splatting for Robotic Manipulation, OpenReview
• arXiv 2024.04, PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation, Website
• arXiv 2015.09, MPPI: Model Predictive Path Integral Control using Covariance Variable Importance Sampling, arXiv
• arXiv 2023.07, Sampling-based Model Predictive Control Leveraging Parallelizable Physics Simulations, arXiv / Github
• arXiv 2024.04, BLINK: Multimodal Large Language Models Can See but Not Perceive, Website
• arXiv 2024.04, Factorized Diffusion: Perceptual Illusions by Noise Decomposition, Website
• CVPR 2024, Probing the 3D Awareness of Visual Foundation Models, arXiv
• ICCV 2019, Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses, arXiv
• arXiv 2024.04, QuasiSim: Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer, Website
• arXiv 2024.04, Policy-Guided Diffusion, arXiv / Github
• RoboSoft 2024, Body Design and Gait Generation of Chair-Type Asymmetrical Tripedal Low-rigidity Robot, Website
• CVPR 2024 oral, MicKey: Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences, Website
• arXiv 2024.04, ZeST: Zero-Shot Material Transfer from a Single Image, Website
• arXiv 2024.03, Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics, Website
• arXiv 2024.04, Reconstructing Hand-Held Objects in 3D, arXiv
• ICRA 2024, Actor-Critic Model Predictive Control, arXiv
• arXiv 2024.04, Finding Visual Task Vectors, arXiv
• NeurIPS 2022, Visual Prompting via Image Inpainting, arXiv
• CVPR 2024 highlight, SpatialTracker: Tracking Any 2D Pixels in 3D Space, Website
• CVPR 2024, NeRF2Physics: Physical Property Understanding from Language-Embedded Feature Fields, Website
• CVPR 2024, Scaling Laws of Synthetic Images for Model Training ... for Now, arXiv
• CVPR 2024, A Vision Check-up for Language Models, arXiv
• CVPR 2024, GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation, Website
• arXiv 2024.04, PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments, Website
• CVPR 2024, Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D, Website
• arXiv 2024.03, LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators, arXiv
• arXiv 2024.03, Leveraging Symmetry in RL-based Legged Locomotion Control, arXiv
• arXiv 2024.03, RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment, arXiv
• arXiv 2024.03, Imitation Bootstrapped Reinforcement Learning, arXiv
• arXiv 2024.03, Visual Whole-Body Control for Legged Loco-Manipulation, arXiv
• arXiv 2024.03, S2: When Do We Not Need Larger Vision Models? arXiv
• ICCV 2021, DPT: Vision Transformers for Dense Prediction, arXiv
• arXiv 2024.03, GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation, Website
• arXiv 2024.03, MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images, Website
• arXiv 2024.03, LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors, Website
• SIGGRAPH 2023, VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering, Github
• arXiv 2024.03, On Pretraining Data Diversity for Self-Supervised Learning, arXiv
• arXiv 2024.03, FeatUp: A Model-Agnostic Framework for Features at Any Resolution, arXiv / Github
• arXiv 2024.03, Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers, arXiv
• arXiv 2024.03, Yell At Your Robot: Improving On-the-Fly from Language Corrections, arXiv
• arXiv 2024.03, DROID: A Large-Scale In-the-Wild Robot Manipulation Dataset, Website
• ICLR 2024 oral, Ghost on the Shell: An Expressive Representation of General 3D Shapes, Website
• arXiv 2024.03, HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation, Website
• arXiv 2024.03, PaperBot: Learning to Design Real-World Tools Using Paper, arXiv
• arXiv 2024.03, GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping, arXiv
• arXiv 2024.03, A Decade's Battle on Dataset Bias: Are We There Yet? arXiv
• arXiv 2024.03, ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation, arXiv
• arXiv 2024.03, Learning Generalizable Feature Fields for Mobile Manipulation, arXiv
• arXiv 2024.03, DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation, arXiv
• arXiv 2024.03, TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation, arXiv
• arXiv 2024.03, OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation, arXiv
• CVPR 2020 oral, SuperGlue: Learning Feature Matching with Graph Neural Networks, Github
• ICRA 2024, Learning to walk in confined spaces using 3D representation, arXiv
• CVPR 2024, Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation, arXiv / Website
• arXiv 2024.03, Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation, Website
• ICRA 2024, Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning, arXiv
• arXiv 2024.03, MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting, Website
• arXiv 2024.03, VQ-BeT: Behavior Generation with Latent Actions, arXiv / Website
• Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer, Website
• arXiv 2024.03, Twisting Lids Off with Two Hands, Website
• ICLR 2023 spotlight, Multi-skill Mobile Manipulation for Object Rearrangement, Github
• CVPR 2024, Gaussian Splatting SLAM, Github
• arXiv 2024.03, TripoSR: Fast 3D Object Reconstruction from a Single Image, Github
• arXiv 2024.03, Point Could Mamba: Point Cloud Learning via State Space Model, arXiv
• CVPR 2024, Rethinking Few-shot 3D Point Cloud Semantic Segmentation, arXiv
• ICLR 2024, Can Transformers Capture Spatial Relations between Objects? arXiv / Website
• SIGGRAPH Asia 2023, CamP: Camera Preconditioning for Neural Radiance Fields, Website / Github
• arXiv 2024.02, Extreme Cross-Embodiment Learning for Manipulation and Navigation, Website
• CVPR 2024, DUSt3R: Geometric 3D Vision Made Easy, Github
• CVPR 2018 best paper, TASKONOMY: Disentangling Task Transfer Learning, Website
• arXiv 2024.02, Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting, Website
• CVPR 2024, Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features, Website
• arXiv 2024.02, Disentangled 3D Scene Gen­eration with Layout Learning, Website
• arXiv 2024.02, Transparent Image Layer Diffusion using Latent Transparency, Website
• arXiv 2024.02, Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning, Website
• arXiv 2024.02, Massive Activations in Large Language Models, Website
• arXiv 2024.02, Dynamics-Guided Diffusion Model for Robot Manipulator Design, Website
• arXiv 2024.02, Genie: Generative Interactive Environments, arXiv / Website
• arXiv 2024.02, CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation, arXiv / Website
• CoRL 2020, DSR: Learning 3D Dynamic Scene Representations for Robot Manipulation, Website
• ICLR 2024 oral, Cameras as Rays: Pose Estimation via Ray Diffusion, Website
• arXiv 2024.02, Pedipulate: Enabling Manipulation Skills using a Quadruped Robot's Leg, arXiv
• arXiv 2024.02, LMPC: Learning to Learn Faster from Human Feedback with Language Model Predictive Control, Website
• arXiv 2023.12, W.A.L.T: Photorealistic Video Generation with Diffusion Models, Website
• arXiv 2024.02, Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots, Website
• ICCV 2023 oral, DiT: Scalable Diffusion Models with Transformers, Website
• arXiv 2023.07, Diffusion Models Beat GANs on Image Classification, arXiv
• ICCV 2023 oral, DDAE: Denoising Diffusion Autoencoders are Unified Self-supervised Learners, arXiv
• arXiv 2024.12, Mosaic-SDF for 3D Generative Models, arXiv / Website
• arXiv 2024.02, POCO: Policy Composition From and For Heterogeneous Robot Learning, Website
• ICML 2024 submission, Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs, arXiv
• ICLR 2024 spotlight, AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents, arXiv
• arXiv 2024.02, Offline Actor-Critic Reinforcement Learning Scales to Large Models, arXiv
• arXiv 2024.02, V-IRL: Grounding Virtual Intelligence in Real Life, Website
• ICRA 2024, SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning, Website
• arXiv 2024.01, Generative Expressive Robot Behaviors using Large Language Models, arXiv
• arXiv 2024.01, pix2gestalt: Amodal Segmentation by Synthesizing Wholes, Website
• arXiv 2024.01, DAE: Deconstructing Denoising Diffusion Models for Self-Supervised Learning, arXiv
• ICLR 2024, DittoGym: Learning to Control Soft Shape-Shifting Robots, Website
• arXiv 2024.01, WildRGB-D: RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos, Website
• arXiv 2024.01, Spatial VLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities, Website
• arXiv 2024.01, Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training, arXiv
• arXiv 2024.01, OK-Robot: What Really Matters in Integrating Open-Knowledge Models for Robotics, Website
• L4DC 2023, Agile Catching with Whole-Body MPC and Blackbox Policy Learning, arXiv
• arXiv 2024.01, Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data, Github
• arXiv 2024.01, WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens, Website
• arXiv 2024.01, VMamba: Visual State Space Model, Github
• arXiv 2024.01, DiffusionGPT: LLM-Driven Text-to-Image Generation System, arXiv /Website
• arXiv 2023.12, PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction, Website
• ICLR 2024 oral, UniSim: Learning Interactive Real-World Simulators, OpenReview
• ICLR 2024 oral, ASID: Active Exploration for System Identification and Reconstruction in Robotic Manipulation, OpenReview
• ICLR 2024 oral, Mastering Memory Tasks with World Models, OpenReview
• ICLR 2024 oral, Predictive auxiliary objectives in deep RL mimic learning in the brain, OpenReview
• ICLR 2024 oral, Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video, arXiv / OpenReview
• arXiv 2024.01, URHand: Universal Relightable Hands, Website
• arXiv 2023.12, Mamba: Linear-Time Sequence Modeling with Selective State Spaces, arXiv / Github
• ICLR 2022, S4: Efficiently Modeling Long Sequences with Structured State Spaces, arXiv
• arXiv 2024.01, Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning, arXiv
• arXiv 2023.12, 3D-LFM: Lifting Foundation Model, Website
• arXiv 2024.01, DVT: Denoising Vision Transformers, Website
• arXiv 2024.01, Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively, Website / Code
• arXiv 2024.01, ATM: Any-point Trajectory Modeling for Policy Learning, Website
• CVPR 2024 submission, Learning Vision from Models Rivals Learning Vision from Data, arXiv / Github
• CVPR 2024 submission, Visual Point Cloud Forecasting enables Scalable Autonomous Driving, arXiv / Github
• CVPR 2024 submission, Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos, arXiv / Website
• CVPR 2024 submission, V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs, Website
• NIPS 2021 outstanding paper, Deep Reinforcement Learning at the Edge of the Statistical Precipice, arXiv / Website
• CVPR 2024 submission, Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model, Website
• ICLR 2023, Deep Learning on 3D Neural Fields, arXiv
• CVPR 2024 submission, Tracking Any Object Amodally, Website
• CVPR 2024 submission, MobileSAMv2: Faster Segment Anything to Everything, Github
• CVPR 2024 submission, AnyDoor: Zero-shot Object-level Image Customization, Github
• CVPR 2024 submission, Point Transformer V3: Simpler, Faster, Stronger, arXiv / Github
• CVPR 2024 submission, Alchemist: Parametric Control of Material Properties with Diffusion Models, Website
• CVPR 2024 submission, Reconstructing Hands in 3D with Transformers, Website
• CVPR 2024 submission, Language-Informed Visual Concept Learning, Website
• CVPR 2024 submission, RCG: Self-conditioned Image Generation via Generating Representations, arXiv / Github
• CVPR 2024 submission, Describing Differences in Image Sets with Natural Language, Website
• CVPR 2024 submission, FaceStudio: Put Your Face Everywhere in Seconds, Website
• CVPR 2024 submission, ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation, Website
• CVPR 2024 submission, Fine-grained Controllable Video Generation via Object Appearance and Context, Website
• CVPR 2024 submission, AmbiGen: Generating Ambigrams from Pre-trained Diffusion Model, Website
• CVPR 2024 submission, ReconFusion: 3D Reconstruction with Diffusion Priors, Website
• CVPR 2024 submission, Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives, arXiv / Website
• CVPR 2024 submission, MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model, Github
• CVPR 2024 submission, VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence, Website
• CVPR 2024 submission, IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks, Website
• CVPR 2024 submission, Generative Powers of Ten, Website
• CVPR 2024 submission, DiffiT: Diffusion Vision Transformers for Image Generation, arXiv
• CVPR 2024 submission, Learning from One Continuous Video Stream, arXiv
• CVPR 2024 submission, EvE: Exploiting Generative Priors for Radiance Field Enrichment, Website
• CVPR 2024 submission, Oryon: Open-Vocabulary Object 6D Pose Estimation, Website
• CVPR 2024 submission, Dense Optical Tracking: Connecting the Dots, Website
• CVPR 2024 submission, Sequential Modeling Enables Scalable Learning for Large Vision Models, Website
• CVPR 2024 submission, VideoBooth: Diffusion-based Video Generation with Image Prompts, Website
• CVPR 2024 submission, SODA: Bottleneck Diffusion Models for Representation Learning, Website
• CVPR 2024 submission, Exploiting Diffusion Prior for Generalizable Pixel-Level Semantic Prediction, Website
• arXiv 2023.11, Initializing Models with Larger Ones, arXiv
• CVPR 2024 submission, Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation, Website / Github
• CVPR 2023 best demo award, Diffusion Illusions: Hiding Images in Plain Sight, Website
• CVPR 2024 submission, Do text-free diffusion models learn discriminative visual representations? Website
• CVPR 2024 submission, Visual Anagrams: Synthesizing Multi-View Optical Illusions with Diffusion Models, Website
• NIPS 2023, Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior, OpenReview
• CoRL 2023 best paper, Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation, Website
• ICLR 2024 submission, RLIF: Interactive Imitation Learning as Reinforcement Learning, Website / arXiv
• CVPR 2024 submission, PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF, arXiv
• RSS 2018, Asymmetric Actor Critic for Image-Based Robot Learning, arXiv
• ICLR 2022, RvS: What is Essential for Offline RL via Supervised Learning?, arXiv
• NIPS 2021, Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser, arXiv
• ICLR 2024 submission, Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning, OpenReview / arXiv
• ICLR 2024 submission, Improved Techniques for Training Consistency Models, OpenReview / arXiv
• ICLR 2024 submission, Privileged Sensing Scaffolds Reinforcement Learning, OpenReview
• ICLR 2024 submission, SafeDiffuser: Safe Planning with Diffusion Probabilistic Models, arXiv / Website
• NIPS 2023 workshop, Vision-Language Models Provide Promptable Representations for Reinforcement Learning, OpenReview
• ICLR 2023 oral, Extreme Q-Learning: MaxEnt RL without Entropy, Website
• ICLR 2024 submission, Generalization in diffusion models arises from geometry-adaptive harmonic representation, OpenReview
• ICLR 2024 submission, DiffTOP: Differentiable Trajectory Optimization as a Policy Class for Reinforcement and Imitation Learning, OpenReview
• CoRL 2023 best system paper, RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools, Website
• CoRL 2023, Learning to Design and Use Tools for Robotic Manipulation, Website
• arXiv 2023.10, Learning to (Learn at Test Time), arXiv / Github
• CoRL 2023 workshop, FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning, OpenReview / Website
• 2023.10, Non-parametric regression for robot learning on manifolds, arXiv
• IROS 2021, Explaining the Decisions of Deep Policy Networks for Robotic Manipulations, arXiv
• ICML 2022, The primacy bias in deep reinforcement learning, arXiv
• ICML 2023 oral, The dormant neuron phenomenon in deep reinforcement learning, arXiv
• arXiv 2022.04, Simplicial Embeddings in Self-Supervised Learning and Downstream Classification, arXiv
• arXiv 2023.10, SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation, arXiv
• arXiv 2023.10, SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding, arXiv
• arXiv 2023.10, TD-MPC2: Scalable, Robust World Models for Continuous Control, arXiv / Github
• arXiv 2023.10, EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation, Website
• NeurIPS 2022, CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning, arXiv / Github
• arXiv 2023.10, Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning, Website
• CoRL 2023, SAQ: Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning, Website
• arXiv 2023.10, Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task fine-tuning, arXiv
• arXiv 2023.03, PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining, arXiv
• arXiv 2023.10, LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation, Website
• arXiv 2023.10, 4K4D: Real-Time 4D View Synthesis at 4K Resolution, Website
• arXiv 2023.10, SuSIE: Subgoal Synthesis via Image Editing, Website
• arXiv 2023.10, Universal Visual Decomposer: Long-Horizon Manipulation Made Easy, Website
• arXiv 2023.10, Learning to Act from Actionless Video through Dense Correspondences, Website
• NIPS 2023, CEC: Cross-Episodic Curriculum for Transformer Agents, Website
• ICLR 2024 submission, TD-MPC2: Scalable, Robust World Models for Continuous Control, Oepnreview
• ICLR 2024 submission, 3D Diffuser Actor: Multi-task 3D Robot Manipulation with Iterative Error Feedback, Openreview
• ICLR 2024 submission, NeRFuser: Diffusion Guided Multi-Task 3D Policy Learning, Openreview
• arXiv 2023.10, Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance, arXiv
• ICCV 2023, S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields, Website
• arXiv 2023.09, Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning, Website / arXiv
• ICCV 2023, End2End Multi-View Feature Matching with Differentiable Pose Optimization, Website
• arXiv 2023.10, Aligning Text-to-Image Diffusion Models with Reward Backpropagation, Website / Github
• NeurIPS 2023, EDP: Efficient Diffusion Policies for Offline Reinforcement Learning, arXiv / Github
• arXiv 2023.09, See to Touch: Learning Tactile Dexterity through Visual Incentives, arXiv / Website
• RSS 2023, SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering, arXiv / Website
• arXiv 2023.09, MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation, arXiv / Website
• arXiv 2023.09, DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation, Website / Github
• arXiv 2023.09, D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation, Website / Github
• arXiv 2023.09, GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators, Website / arXiv
• arXiv 2023.09, Human-Assisted Continual Robot Learning with Foundation Models, Website / arXiv
• arXiv 2023.09, Robotic Offline RL from Internet Videos via Value-Function Pre-Training, arXiv / Website
• ICCV 2023, PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking, arXiv / Github
• arXiv 2023, Compositional Foundation Models for Hierarchical Planning, Website
• RSS 2022 Best Student Paper Award Finalist, ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation, Website
• CoRL 2023, REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation, arXiv / Website
• CoRL 2023, An Unbiased Look at Datasets for Visuo-Motor Pre-Training, OpenReview
• CoRL 2023, Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, OpenReview
• ICCV 2023 oral, Tracking Everything Everywhere All at Once, Website
• arXiv 2023.08, RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation, arXiv / Website
• arXiv 2023.06, DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data, arXiv / Website
• ICLR 2023 spotlight, FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation, Website
• arXiv 2023.06, Seal: Segment Any Point Cloud Sequences by Distilling Vision Foundation Models, arXiv / Website / Github
• arXiv 2023.08, BridgeData V2: A Dataset for Robot Learning at Scale, arXiv / Website
• arXiv 2023.08, Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision, Website
• ICML 2023, QRL: Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning, Website / Github
• arXiv 2023.08, Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis, Website
• SIGGRAPH 2023 best paper, 3D Gaussian Splatting for Real-Time Radiance Field Rendering, Website
• CoRL 2022, In-Hand Object Rotation via Rapid Motor Adaptation, arXiv / Website
• ICLR 2019, DPI-Net: Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids, Website
• ICLR 2019, Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control, arXiv / Website
• NeurIPS 2021 spotlight, NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, Website
• ICCV 2023, Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models, Website
• AAAI 2018, FiLM: Visual Reasoning with a General Conditioning Layer, arXiv
• arXiv 2023.08, RoboAgent: Towards Sample Efficient Robot Manipulation with Semantic Augmentations and Action Chunking, Website
• ICRA 2000, RRT-Connect: An Efficient Approach to Single-Query Path Planning, PDF
• CVPR 2017 oral, Network Dissection: Quantifying Interpretability of Deep Visual Representations, arXiv / Website
• NIPS 2020 (spotlight), Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, Website
• ICRA 1992, Planning optimal grasps, PDF
• RSS 2021, GIGA: Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations, arXiv / Website
• ECCV 2022, StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning, arXiv / Github
• ICML 2023, Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation, arXiv / Github
• ECCV 2022, SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer, arXiv / Github
• arXiv 2023.07, Waypoint-Based Imitation Learning for Robotic Manipulation, Website
• ICML 2022, Prompt-DT: Prompting Decision Transformer for Few-Shot Policy Generalization, Website
• arXiv 2023, Reinforcement Learning from Passive Data via Latent Intentions, Website
• ICML 2023, RPG: Reparameterized Policy Learning for Multimodal Trajectory Optimization, Website
• ICML 2023, TGRL: An Algorithm for Teacher Guided Reinforcement Learning, Website
• arXiv 2023.07, XSkill: Cross Embodiment Skill Discovery, Website / arXiv
• ICML 2023, Learning Neural Constitutive Laws: From Motion Observations for Generalizable PDE Dynamics, Website / Github
• arXiv 2023.07, TokenFlow: Consistent Diffusion Features for Consistent Video Editing, Website
• arXiv 2023.07, PAPR: Proximity Attention Point Rendering, Website / arXiv
• ICCV 2023, DreamTeacher: Pretraining Image Backbones with Deep Generative Models, Website / arXiv
• RSS 2023, Robust and Versatile Bipedal Jumping Control through Reinforcement Learning, arXiv
• arXiv 2023.07, Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives, Website / arXiv
• ICLR 2023, DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics, Website / Github
• arXiv 2023.07, RPDiff: Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement, Website / Github
• arXiv 2023.07, SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks, Website / Github
• RSS 2023, DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training, Website / arXiv
• arXiv 2023.07, KITE: Keypoint-Conditioned Policies for Semantic Manipulation, Website / arXiv
• arXiv 2023.06, Detector-Free Structure from Motion, Website / arXiv
• arXiv 2023.06, REFLECT: Summarizing Robot Experiences for FaiLure Explanation and CorrecTion, arXiv / Website
• arXiv 2023.06, ViNT: A Foundation Model for Visual Navigation, Website
• AAAI 2023, Improving Long-Horizon Imitation Through Instruction Prediction, arXiv / Github
• arXiv 2023.06, RVT: Robotic View Transformer for 3D Object Manipulation, Website
• arXiv 2023.01, Ponder: Point Cloud Pre-training via Neural Rendering, arXiv
• arXiv 2023.06, SGR: A Universal Semantic-Geometric Representation for Robotic Manipulation, arXiv / Website
• arXiv 2023.06, Robot Learning with Sensorimotor Pre-training, arXiv / Website
• arXiv 2023.06, For SALE: State-Action Representation Learning for Deep Reinforcement Learning, arXiv / Github
• arXiv 2023.06, HomeRobot: Open Vocabulary Mobile Manipulation, Website
• arXiv 2023.06, Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Deep Pre-trained Models, Website
• arXiv 2023.06, TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement, Website
• CVPR 2017, I3D: Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset, arXiv
• arXiv 2023.06, Diffusion Models for Zero-Shot Open-Vocabulary Segmentation, Website
• arXiv 2023.06, R-MAE: Regions Meet Masked Autoencoders, arXiv / Github
• arXiv 2023.05, Optimus: Imitating Task and Motion Planning with Visuomotor Transformers, Website
• arXiv 2023.05, Video Prediction Models as Rewards for Reinforcement Learning, arXiv / Website
• ICML 2023, VIMA: General Robot Manipulation with Multimodal Prompts, Website / Github
• arXiv 2023.05, SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning, arXiv
• arXiv 2023.05, Training Diffusion Models with Reinforcement Learning, Website
• arXiv 2023.03, Foundation Models for Decision Making: Problems, Methods, and Opportunities, arXiv
• ICLR 2017, Third-Person Imitation Learning, arXiv
• arXiv 2023.04, CoTPC: Chain-of-Thought Predictive Control, Website
• CVPR 2023 highlight, ImageBind: One embedding to bind them all, Website / Github
• arXiv 2023.05, Shap-E: Generating Conditional 3D Implicit Functions, Github
• arXiv 2023.04, Track Anything: Segment Anything Meets Videos, Github
• CVPR 2023, GLaD: Generalizing Dataset Distillation via Deep Generative Prior, Website
• CVPR 2022 oral, RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs, Website
• CVPR 2023, FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization, Website / Github
• ICLR 2023 oral, Decision-Diffuser: Is Conditional Generative Modeling all you need for Decision-Making?, Website
• CVPR 2022, Depth-supervised NeRF: Fewer Views and Faster Training for Free, Website
• SIGGRAPH Asia 2022, ENeRF: Efficient Neural Radiance Fields for Interactive Free-viewpoint Video, Website
• ICML 2023, On the power of foundation models, arXiv
• ICML 2023, SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning, Website
• ICLR 2023 outstanding paper, Emergence of Maps in the Memories of Blind Navigation Agents, Openreview
• ICLR 2023 outstanding paper honorable mentions, Disentanglement with Biological Constraints: A Theory of Functional Cell Types, Openreview
• CVPR 2023 award candidate, Data-driven Feature Tracking for Event Cameras, arXiv
• CVPR 2023 award candidate, What Can Human Sketches Do for Object Detection?, Website
• CVPR 2023 award candidate, Visual Programming for Compositional Visual Reasoning, Website
• CVPR 2023 award candidate, On Distillation of Guided Diffusion Models, arXiv
• CVPR 2023 award candidate, DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation, Website
• CVPR 2023 award candidate, Planning-oriented Autonomous Driving, Github
• CVPR 2023 award candidate, Neural Dynamic Image-Based Rendering, Website
• CVPR 2023 award candidate, MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures, Website
• CVPR 2023 award candidate, OmniObject3D: Large Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation, Website
• CVPR 2023 award candidate, Ego-Body Pose Estimation via Ego-Head Pose Estimation, Website
• CVPR 2023, Affordances from Human Videos as a Versatile Representation for Robotics, Website
• CVPR 2022, Neural 3D Video Synthesis from Multi-view Video, Website
• ICCV 2021, Nerfies: Deformable Neural Radiance Fields, Website / Github
• CVPR 2023 highlight, HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling, Website / Github
• arXiv 2022.05, FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness, arXiv / Github
• CVPR 2023, CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data, arXiv
• CVPR 2023, ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding, arXiv / Github
• CVPR 2023, Learning Video Representations from Large Language Models, Website / Github
• CVPR 2023, PLA: Language-Driven Open-Vocabulary 3D Scene Understanding, Website
• CVPR 2023, PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models, arXiv
• CVPR 2023, Mask-Free Video Instance Segmentation, Website / Github
• arXiv 2023.04, DINOv2: Learning Robust Visual Features without Supervision, arXiv / Github
• arXiv 2023.04, Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields, Website
• arXiv 2023.04, SEEM: Segment Everything Everywhere All at Once, arXiv / code
• arXiv 2023.04, Internet Explorer: Targeted Representation Learning on the Open Web, page / code
• arXiv 2023.03, Consistency Models, code / arXiv
• arXiv 2023.02, SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections, code / page
• arXiv 2023.04, Generative Agents: Interactive Simulacra of Human Behavior, arXiv
• ICLR 2023 notable, NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning, OpenReview
• arXiv 2023, For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal, arXiv
• code, Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions, GitHub
• arXiv 2023, Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection, arXiv / GitHub
• arXiv 2023, Zero-1-to-3: Zero-shot One Image to 3D Object, arXiv
• ICLR 2023, Towards Stable Test-Time Adaptation in Dynamic Wild World, arXiv
• CVPR 2023 highlight, Neural Volumetric Memory for Visual Locomotion Control, Website
• arXiv 2023, Segment Anything, Website
• ICRA 2023, DribbleBot: Dynamic Legged Manipulation in the Wild, Website
• arXiv 2023, Alpaca: A Strong, Replicable Instruction-Following Model, Website
• arXiv 2023, VC-1: Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?, Website
• ICLR 2022, DroQ: Dropout Q-Functions for Doubly Efficient Reinforcement Learning, arXiv
• arXiv 2023, RoboPianist: A Benchmark for High-Dimensional Robot Control, Website
• ICLR 2021, DDIM: Denoising Diffusion Implicit Models, arXiv
• arXiv 2023, Your Diffusion Model is Secretly a Zero-Shot Classifier, Website
• CVPR 2023 highlight, F2-NeRF: Fast Neural Radiance Field Training with Free Camera
• arXiv 2023, Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware, Website
• RSS 2021, RMA: Rapid Motor Adaptation for Legged Robots, Website
• ICCV 2021, Where2Act: From Pixels to Actions for Articulated 3D Objects, Website
• CVPR 2019 oral, Semantic Image Synthesis with Spatially-Adaptive Normalization, GitHub

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