https://drive.google.com/drive/folders/1BjGyC6fFctKVrZqprsezk335YOvu9JUp?usp=sharing
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1-InstColorization_video.ipynb Use Instance-Aware colorization [1] on DAVIS Dataset [3].
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2-InstColorization_video_prior.ipynb Use [2] to improve temporal consistency.
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3-InstColorization_video_bboxshown.ipynb Study impact of the bounding boxes on temporal consistency.
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4-Metrics-*.ipynb metrics to measure performance degradation.
[1] Jheng-Wei Su, Hung-Kuo Chu, and Jia-Bin Huang. Instance-aware image colorization. In IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2020.
[2] Chenyang Lei, Yazhou Xing, and Qifeng Chen. Blind video temporal consistency via deep video prior. In Advances in Neural Information Processing Systems, 2020.
[3] Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung. A benchmark dataset and evaluation methodology for video object segmentation. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016