Training deep models using anime, illustration images.

Last update: Dec 25, 2022

Overview

animeface

deep models for anime images.

Datasets

anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K images.
Tagged Anime Illustrations A subset of the Danbooru2017, and the moeimouto face dataset. 337K Danbooru images, 17.4K moeimouto face images.
Danbooru2019 Portraits [1] Portraits of anime characters collected from Danbooru2019. 302K portraits.

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

Training deep models using anime, illustration images.

Related tags

Overview

animeface

Datasets

Models

Generative Adversarial Networks (GANs)

Auto Encoders

Other

Weights

Reference

Author

Owner

Tomoya Sawada

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

PyTorch implementation of PP-LCNet

Imaginaire - NVIDIA's Deep Imagination Team's PyTorch Library

PyTorch GPU implementation of the ES-RNN model for time series forecasting

An original implementation of "MetaICL Learning to Learn In Context" by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi

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Development Kit for the SoccerNet Challenge

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Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).

This is official implementaion of paper "Token Shift Transformer for Video Classification".

DimReductionClustering - Dimensionality Reduction + Clustering + Unsupervised Score Metrics

Deep Learning (with PyTorch)

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

UnsupervisedR&R: Unsupervised Pointcloud Registration via Differentiable Rendering

Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition