ML Anthology

NTIRE 2023 Video Colorization Challenge

Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo
CVPRW 2023 pp. 1570-1581
doi:10.1109/CVPRW59228.2023.00159 /cvprw/2023/kang2023cvprw-ntire/

Abstract

This paper reviews the video colorization challenge on the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2023. The target of this challenge is converting grayscale videos into color videos with better colorization performance and temporal consistency. The challenge consists of two tracks. For Track 1, the goal is achieving the best FID (Fréchet Inception Distance) while being constrained to maintain or improve over the baseline method in terms of the temporal-consistency metric. The Color Distribution Consistency (CDC) index is used as the temporal consistency evaluation metric in this challenge. For Track 2, the target is to obtain a solution with the best CDC result while being constrained to maintain or improve over the baseline method in terms of FID. We use DeOldify-video as the baseline method for two tracks. For the final testing phase of both tracks, six teams submitted fact sheets and executable code of their solutions. This report brings together descriptions and discussions of all these solutions. Both tracks use the same data and the datasets are available at this url.

CVPRW Semantic Scholar

Cite

Text

Kang et al. "NTIRE 2023 Video Colorization Challenge." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023. doi:10.1109/CVPRW59228.2023.00159

Markdown

[Kang et al. "NTIRE 2023 Video Colorization Challenge." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2023.](https://mlanthology.org/cvprw/2023/kang2023cvprw-ntire/) doi:10.1109/CVPRW59228.2023.00159

BibTeX

@inproceedings{kang2023cvprw-ntire,
  title     = {{NTIRE 2023 Video Colorization Challenge}},
  author    = {Kang, Xiaoyang and Lin, Xianhui and Zhang, Kai and Hui, Zheng and Xiang, Wangmeng and He, Jun-Yan and Li, Xiaoming and Ren, Peiran and Xie, Xuansong and Timofte, Radu and Yang, Yixin and Pan, Jinshan and Zheng, Zhong and Qiyan, Peng and Zhang, Jiangxin and Dong, Jinhui and Tan, Jinjing and Lin, Chi-Chen and Li, Lin Qipei and Liang, Qirong and Gang, Ruipeng and Liu, Xiaofeng and Feng, Shuang and Liu, Shuai and Wang, Hao and Feng, Chaoyu and Bai, Furui and Zhang, Yuqian and Shao, Guangqi and Wang, Xiaotao and Lei, Lei and Chen, Siqi and Zhang, Yu and Xu, Hanning and Liu, Zheyuan and Zhang, Zhao and Luo, Yan and Zuo, Zhichao},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2023},
  pages     = {1570-1581},
  doi       = {10.1109/CVPRW59228.2023.00159},
  url       = {https://mlanthology.org/cvprw/2023/kang2023cvprw-ntire/}
}