zhangmozhe/Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Leverages exemplar-based reference images to guide temporal color propagation across video frames, using a PyTorch architecture with VGG19 perceptual loss for training. Supports both automatic reference retrieval from ImageNet and manual exemplar selection, with inference scaling to handle arbitrary resolutions while maintaining the 1:2 aspect ratio used during training. Includes full training pipeline with synthetic video augmentation from ImageNet, enabling customization beyond the provided pretrained model.
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Python
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MIT
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Last pushed
Oct 29, 2022
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