Readme
🎨 DDColor
Implementation of ICCV 2023 Paper “DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders”.
🪄 DDColor can provide vivid and natural colorization for historical black and white old photos.
🎲 It can even colorize/recolor landscapes from anime games, transforming your animated scenery into a realistic real-life style! (Image source: Genshin Impact)
Methods
In short: DDColor uses multi-scale visual features to optimize learnable color tokens (i.e. color queries) and achieves state-of-the-art performance on automatic image colorization.
Citation
If our work is helpful for your research, please consider citing:
@inproceedings{kang2023ddcolor,
title={DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders},
author={Kang, Xiaoyang and Yang, Tao and Ouyang, Wenqi and Ren, Peiran and Li, Lingzhi and Xie, Xuansong},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={328--338},
year={2023}
}
Acknowledgments
We thank the authors of BasicSR for the awesome training pipeline.
Xintao Wang, Ke Yu, Kelvin C.K. Chan, Chao Dong and Chen Change Loy. BasicSR: Open Source Image and Video Restoration Toolbox. https://github.com/xinntao/BasicSR , 2020.
Some codes are adapted from ColorFormer , BigColor , ConvNeXt , Mask2Former , and DETR . Thanks for their excellent work!
