pytorch-pretrained-BigGAN VS Deep-Exemplar-based-Video-Colorization

Compare pytorch-pretrained-BigGAN vs Deep-Exemplar-based-Video-Colorization and see what are their differences.

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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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Posts with mentions or reviews of pytorch-pretrained-BigGAN. We have used some of these posts to build our list of alternatives and similar projects.


Posts with mentions or reviews of Deep-Exemplar-based-Video-Colorization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pytorch-pretrained-BigGAN and Deep-Exemplar-based-Video-Colorization you can also consider the following projects:

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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