AI-Art VS cycle-gan-pytorch

Compare AI-Art vs cycle-gan-pytorch and see what are their differences.

AI-Art

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream! (by Adi-iitd)

cycle-gan-pytorch

This repository contains an implementation of the Cylce-GAN architecture for style transfer along with instructions to train on an own dataset. (by theopfr)
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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

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

cycle-gan-pytorch

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

What are some alternatives?

When comparing AI-Art and cycle-gan-pytorch you can also consider the following projects:

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