AvatarGAN VS GAN-Anime-Characters

Compare AvatarGAN 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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AvatarGAN GAN-Anime-Characters
1 1
62 57
- -
3.8 1.8
7 months ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
- MIT License
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AvatarGAN

Posts with mentions or reviews of AvatarGAN. 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 AvatarGAN and GAN-Anime-Characters you can also consider the following projects:

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

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

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, ... 🧠

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

Transformer-in-Transformer - An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

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

faceswap-GAN - A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

pillbox - Contains implementation of AdVIL, AdRIL, and DAeQuIL algorithms from the ICML '21 Paper Of Moments and Matching.