Skip to content
프로젝트

richzhang/colorization has 3,472 GitHub stars and 923 forks. GitHot measured 0 stars in 24 hours and +7 in 7 days. Last checked 2026-11-08 02:28 UTC. Last push 2023-11-27.

이 수치를 측정하는 방법

심층 신경망을 사용한 자동 색상화. "Colorful Image Colorization." ECCV 2016 발표.

측정된 스타 증가

in 24h
0
in 7 days
+7
in 15 days
업데이트 지연
in 1 month
업데이트 지연

서로 겹치는 기간의 순증가량이며 일별 합계가 아닙니다. 측정값이 없으면 비워 둡니다. 스타는 관심도를 나타내며 품질을 보장하지 않습니다.

README.md

Original

Colorful Image Colorization [Project Page]

Richard Zhang, Phillip Isola, Alexei A. Efros. In ECCV, 2016.

+ automatic colorization functionality for Real-Time User-Guided Image Colorization with Learned Deep Priors, SIGGRAPH 2017!

[Sept20 Update] Since it has been 3-4 years, I converted this repo to support minimal test-time usage in PyTorch. I also added our SIGGRAPH 2017 (it's an interactive method but can also do automatic). See the Caffe branch for the original release.

Teaser Image

Clone the repository; install dependencies

git clone https://github.com/richzhang/colorization.git
pip install requirements.txt

Colorize! This script will colorize an image. The results should match the images in the imgs_out folder.

python demo_release.py -i imgs/ansel_adams3.jpg

Model loading in Python The following loads pretrained colorizers. See demo_release.py for some details on how to run the model. There are some pre and post-processing steps: convert to Lab space, resize to 256x256, colorize, and concatenate to the original full resolution, and convert to RGB.

import colorizers
colorizer_eccv16 = colorizers.eccv16().eval()
colorizer_siggraph17 = colorizers.siggraph17().eval()

Original implementation (Caffe branch)

The original implementation contained train and testing, our network and AlexNet (for representation learning tests), as well as representation learning tests. It is in Caffe and is no longer supported. Please see the caffe branch for it.

Citation

If you find these models useful for your resesarch, please cite with these bibtexs.

@inproceedings{zhang2016colorful,
  title={Colorful Image Colorization},
  author={Zhang, Richard and Isola, Phillip and Efros, Alexei A},
  booktitle={ECCV},
  year={2016}
}

@article{zhang2017real,
  title={Real-Time User-Guided Image Colorization with Learned Deep Priors},
  author={Zhang, Richard and Zhu, Jun-Yan and Isola, Phillip and Geng, Xinyang and Lin, Angela S and Yu, Tianhe and Efros, Alexei A},
  journal={ACM Transactions on Graphics (TOG)},
  volume={9},
  number={4},
  year={2017},
  publisher={ACM}
}

Misc

Contact Richard Zhang at rich.zhang at eecs.berkeley.edu for any questions or comments.

관련 프로젝트 살펴보기