cycle-gan-pytorch VS AI-Art

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

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)

AI-Art

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream! (by Adi-iitd)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
cycle-gan-pytorch AI-Art
2 1
9 379
- -
3.6 0.0
about 2 years ago almost 2 years ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

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.

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.

What are some alternatives?

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

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.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications

neural-style-pt - PyTorch implementation of neural style transfer algorithm

BlendGAN - Official PyTorch implementation of "BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation" (NeurIPS 2021)

VQGAN-CLIP-Video - Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

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