GAN-Anime-Characters VS encoder4editing

Compare GAN-Anime-Characters vs encoder4editing and see what are their differences.

GAN-Anime-Characters

Creating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models (by Tejas-Nanaware)

encoder4editing

Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766 (by omertov)
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GAN-Anime-Characters encoder4editing
1 2
73 994
- 0.0%
3.2 0.0
about 2 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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.
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GAN-Anime-Characters

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

encoder4editing

Posts with mentions or reviews of encoder4editing. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-31.

What are some alternatives?

When comparing GAN-Anime-Characters and encoder4editing you can also consider the following projects:

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

restyle-encoder - Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

RefinementGAN - Official implementation of the paper: https://arxiv.org/abs/2108.04957

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

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