AnimeGANv3 VS ArcaneGAN

Compare AnimeGANv3 vs ArcaneGAN and see what are their differences.

AnimeGANv3

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime. (by TachibanaYoshino)
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AnimeGANv3 ArcaneGAN
3 11
1,573 652
- -
7.1 0.0
3 months ago 4 months ago
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.

AnimeGANv3

Posts with mentions or reviews of AnimeGANv3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-11.

ArcaneGAN

Posts with mentions or reviews of ArcaneGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

What are some alternatives?

When comparing AnimeGANv3 and ArcaneGAN you can also consider the following projects:

AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

JoJoGAN - Official PyTorch repo for JoJoGAN: One Shot Face Stylization

animegan2-pytorch - PyTorch implementation of AnimeGANv2

toonify

stable-diffusion - A latent text-to-image diffusion model

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

White-box-Cartoonization - Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

stable-diffusion-webui - Stable Diffusion web UI

techniques - Techniques for deep learning with satellite & aerial imagery

CartoonGAN-Test-Pytorch-Torch - Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]