RefinementGAN VS GAN-Anime-Characters

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

GAN-Anime-Characters

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits. (by Tejas-Nanaware)
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RefinementGAN GAN-Anime-Characters
1 1
3 57
- -
4.2 1.8
over 2 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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RefinementGAN

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

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.

What are some alternatives?

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

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

AvatarGAN - Generate Cartoon Images using Generative Adversarial Network

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Animender - An AI that recommends anime based on personal history.

encoder4editing - Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766