Training deep models using anime, illustration images.

Related tags

Deep Learningpythonmachine-learningdeep-learninganimepytorchgan
Overview

StyleGAN3 samples

animeface

deep models for anime images.

Datasets

Models

"code" is indicated when only an official implementation exists.

Generative Adversarial Networks (GANs)

Method paper code
Alias Free GAN (StyleGAN3) arxiv github
Augmented-Self Reference and Dense Semantic Correspondence (SCFT) arxiv -
auxiliary classifier GAN (ACGAN) arxiv -
big GAN (BigGAN) arxiv github
conditional GAN (cGAN) arxiv -
Contrastive Discriminator (ContraD) openreview github
deep convolutional GAN (DCGAN) arxiv -
deep regret analytic GAN (DRAGAN) arxiv github
Enhanced super resolution GAN (ESRGAN) arxiv github
Fourier Features arxiv github
GANILLA arxiv github
generative adversarial networks (GAN) arxiv -
Image-to-image Translation via Hierarchical Style Disentanglement (HiSD) arxiv github
Improved Transformer for High-Resolution GANs (HiT) arxiv -
Hologram(?) GAN (HoloGAN) arxiv github
Position Encoding as Spatial Inductive Bias arxiv github
progressive growing of GANs (PGGAN) arxiv github
pix2ix arxiv github
pix2pix HD arxiv github
single GAN (SinGAN) arxiv github
Spatially-Adaptive Normalization (SPADE) arxiv github
style-based GAN (StyleGAN) arxiv github
style-based GAN 2 (StyleGAN2) arxiv github
Super resolution GAN (SRGAN) arxiv -
Transformer-based GAN (TransGAN) arxiv github
unsupervised GAN with adaptive layer-instance normalization (UGATIT) arxiv github
Wasserstein GAN (WGAN) arxiv -
WGAN with gradient penalty (WGAN_gp) arxiv -
zero-centered gradient penalty arxiv -
simplified zero-centered gradient penality arxiv github

Auto Encoders

Method paper code
Auto Encoder (AE) tronto -
Variational Auto Encoder (VAE) arxiv -

Other

Method paper code
AdaBelief optimizer arxiv github
Adaptive Discriminator Augmentation (ADA) arxiv github
differentiable augmentation (DiffAugment) arxiv github
pixel shuffle arxiv -

Weights

See weights.md

Reference

[1] Gwern Branwen, Anonymous, & The Danbooru Community;
    “Danbooru2019 Portraits: A Large-Scale Anime Head Illustration Dataset”,
    2019-03-12. Web. Accessed 2020/09/17,
    https://www.gwern.net/Crops#danbooru2019-portraits

Author

Tomoya Sawada

Owner
Tomoya Sawada
A student in Japan.
Tomoya Sawada
GitHub Repository https://stomoya.github.io/animeface/
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