AI-Art
cycle-gan-pytorch
AI-Art | cycle-gan-pytorch | |
---|---|---|
1 | 2 | |
379 | 9 | |
- | - | |
0.0 | 3.6 | |
about 2 years ago | about 2 years ago | |
Python | Python | |
MIT License | - |
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AI-Art
cycle-gan-pytorch
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Simple Cycle-GAN implementation using Pytorch
Hey, I wanted to share again my Cycle-GAN implementation: https://github.com/theopfr/cycle-gan-pytorch
- Cycle-GAN implementation in Pytorch
What are some alternatives?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pytorch-neural-style-transfer - Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.
neural-style-pt - PyTorch implementation of neural style transfer algorithm
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications
VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.
BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Neural-Style-Transfer - Pytorch implementation of Nueral Style transfer