pytorch-pretrained-BigGAN
Deep-Exemplar-based-Video-Colorization
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| pytorch-pretrained-BigGAN | Deep-Exemplar-based-Video-Colorization | |
|---|---|---|
| 1 | 2 | |
| 935 | 193 | |
| 3.2% | - | |
| 0.0 | 1.4 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| MIT License | MIT License |
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pytorch-pretrained-BigGAN
Deep-Exemplar-based-Video-Colorization
- 1929 video from Shanghai, upscaled to 4K color using AI
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[P] Colorizing the legacy videos with attention mechanism
We recently released the code for our paper "Deep Exemplar-based Video Colorization". The code along with the Colab demo is available at: https://github.com/zhangmozhe/Deep-Exemplar-based-Video-Colorization. Welcome to have a try.
What are some alternatives?
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Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
mmediting - MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.
ALAE - [CVPR2020] Adversarial Latent Autoencoders
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation