Awesome Image Composition

Welcome to scan the WeChat QR code to join the discussion group on image composition/compositing, object insertion/addition.

A curated list of resources including papers, datasets, and relevant links pertaining to image composition/compositing. The goal of image composition/compositing is inserting one foreground into a background image to get a realistic composite image, by addressing the inconsistencies (appearance, geometry, and semantic inconsistency) between foreground and background. Generally speaking, image composition/compositing could be used to combine the visual elements from different images.

Welcome to follow WeChat public account "Newly AIGCer" or Zhihu Column "Newly CVer" to get the latest information about image composition!

Contributing

Contributions are welcome. If you wish to contribute, feel free to send a pull request. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a pull request.

Table of Contents

• Online Demo
• Survey
• Toolbox
• Papers
• Datasets
• Evaluation

Online Demo

Try this online demo for image composition (object insertion) built upon libcom toolbox and have fun!

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Survey

• Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang: "Making Images Real Again: A Comprehensive Survey on Deep Image Composition." arXiv preprint arXiv:2106.14490 (2021). [arXiv] [slides]

Toolbox

We integrate 10+ image composition related functions into libcom (the library of image composition), including image blending, standard/painterly image harmonization, shadow generation, object placement, generative composition, quality evaluation, etc. The ultimate goal of this library is solving all the problems related to image composition with simple import libcom.

Papers

1. Image Blending

  Awesome-Image-Blending

2. Image Harmonization

  Awesome-Image-Harmonization

3. Object Shadow Generation

  Awesome-Object-Shadow-Generation

4. Object Reflection Generation

  Awesome-Object-Reflection-Generation

5. Object Placement

  Awesome-Object-Placement

6. Spatial Transformation

  Awesome-Spatial-Transformation

7. Occlusion

  Awesome-Composition-Occlusion

8. Foreground Object Search

  Awesome-Foreground-Object-Search

9. Generative Image Composition

  Awesome-Generative-Image-Composition

Datasets

• Datasets for image harmonization [link]
• Datasets for object shadow generation [link]
• Datasets for object reflection generation [link]
• Datasets for object placement [link]
• Datasets for foreground object search [link]
• Datasets for perspective transformation [link]
• Datasets for generative image composition [link]

Evaluation

• Composite-Image-Evaluation

Other Resources

• Awesome-Object-Insertion