‘StyleGAN anime’ tag

Gwern Branwen

See Also
Gwern
Links
Miscellaneous
Bibliography

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Gwern

“Making Anime Faces With StyleGAN”, Gwern 2019

Making Anime Faces With StyleGAN

“ThisWaifuDoesNotExist.net”, Gwern 2019

ThisWaifuDoesNotExist.net

“This Waifu Does Not Exist”, Gwern 2019

This Waifu Does Not Exist

Links

“Generating Diverse and Reliable Features for Few-Shot Learning”, Xu 2024b

Generating Diverse and Reliable Features for Few-Shot Learning

“Optimal Transport-Based Unsupervised Semantic Disentanglement: A Novel Approach for Efficient Image Editing in GANs”, Liu et al 2023d

Optimal transport-based unsupervised semantic disentanglement: A novel approach for efficient image editing in GANs

“Controllable Feature-Preserving Style Transfer”, Chen et al 2023

Controllable Feature-Preserving Style Transfer

“One-For-All: Towards Universal Domain Translation With a Single StyleGAN”, Du et al 2023

One-for-All: Towards Universal Domain Translation with a Single StyleGAN

“High-Quality Synthetic Character Image Extraction via Distortion Recognition”, Sawada et al 2023

High-Quality Synthetic Character Image Extraction via Distortion Recognition

“Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”, Wei et al 2023

Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation

“Generalizable Synthetic Image Detection via Language-Guided Contrastive Learning”, Wu et al 2023

Generalizable Synthetic Image Detection via Language-guided Contrastive Learning

“Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c

Parsing-Conditioned Anime Translation: A New Dataset and Method

“KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”, Cui et al 2023

KD-DLGAN: Data Limited Image Generation via Knowledge Distillation

“FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces”, Xia et al 2023

FEditNet: few-shot editing of latent semantics in GAN spaces

“DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings”, Li et al 2023

DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings

“HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis”, Zhou et al 2022b

HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis

“Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN”, Hu et al 2022b

Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN

“We-Toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Ko et al 2022b

We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision

“VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Yang et al 2022

VToonify: Controllable High-Resolution Portrait Video Style Transfer

“Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Wang et al 2022b

Generalizing Factorization of GANs by Characterizing Convolutional Layers

“Controlling StyleGANs Using Rough Scribbles via One-Shot Learning”, Endo & Kanamori 2022

Controlling StyleGANs using rough scribbles via one-shot learning

“MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022

MontageGAN: Generation and Assembly of Multiple Components by GANs

“Cross-Domain Style Mixing for Face Cartoonization”, Kim et al 2022

Cross-Domain Style Mixing for Face Cartoonization

“Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer”, Yang et al 2022

Pastiche Master (DualStyleGAN): Exemplar-Based High-Resolution Portrait Style Transfer

“DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"”, Yang et al 2022

DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"

“Self-Distilled StyleGAN: Towards Generation from Internet Photos”, Mokady et al 2022

Self-Distilled StyleGAN: Towards Generation from Internet Photos

“Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling”, Zhou et al 2022

Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling

“Fine-Grained Control of Artistic Styles in Image Generation”, Miao et al 2021

Fine-Grained Control of Artistic Styles in Image Generation

“DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b

DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations

“AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”, Yang et al 2021

AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

“MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Wang et al 2021

MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains

“Cross-Domain and Disentangled Face Manipulation With 3D Guidance”, Wang et al 2021

Cross-Domain and Disentangled Face Manipulation with 3D Guidance

“Few-Shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori 2021

Few-shot Semantic Image Synthesis Using StyleGAN Prior

“Scoring Images from TADNE With CLIP”, nagolinc 2021

Scoring images from TADNE with CLIP

“This Anime Does Not Exist.ai (TADNE)”, Nearcyan et al 2021

This Anime Does Not Exist.ai (TADNE)

“Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020

Data Instance Prior for Transfer Learning in GANs

“End-To-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, Xue 2020

End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks

“Unsupervised Image-To-Image Translation via Pre-Trained StyleGAN2 Network”, Huang et al 2020

Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network

“Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, Pinkney & Adler 2020

Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains

“StyleGAN Network Blending”, Pinkney 2020

StyleGAN network blending

“Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou 2020

Closed-Form Factorization of Latent Semantics in GANs

“This Pony Does Not Exist”, Arfafax 2020

This Pony Does Not Exist

“This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax 2020

This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)

“The Internet Furry Drama Raising Big Questions About Artificial Intelligence”, Kimball 2020

The Internet Furry Drama Raising Big Questions About Artificial Intelligence

“Anime Crop Datasets: Faces, Figures, & Hands”, Gwern et al 2020

Anime Crop Datasets: Faces, Figures, & Hands

“This Fursona Does Not Exist”, Arfafax 2020

This Fursona Does Not Exist

“Talking Head Anime from a Single Image”, Khungurn 2019

Talking Head Anime from a Single Image

“How We Built the Waifu Vending Machine”, Studios 2019

How we built the Waifu Vending Machine

“Spatially Controllable Image Synthesis With Internal Representation Collaging”, Suzuki et al 2018

Spatially Controllable Image Synthesis with Internal Representation Collaging

“Style2Paints GitHub Repository”, Zhang et al 2018

Style2Paints GitHub repository

“StyleGAN2 512px Trained on Danbooru2019”

StyleGAN2 512px trained on Danbooru2019

“StyleGAN Anime Sliders: This Notebook Demonstrate How to Learn and Extract Controllable Directions from ThisAnimeDoesNotExist. This Takes a Pretrained StyleGAN and Uses DeepDanbooru to Extract Various Labels from a Number of Samples. It Then Uses Those Labels to Learn Various Attributes Which Are Controllable With Sliders”

StyleGAN Anime Sliders: This notebook demonstrate how to learn and extract controllable directions from ThisAnimeDoesNotExist. This takes a pretrained StyleGAN and uses DeepDanbooru to extract various labels from a number of samples. It then uses those labels to learn various attributes which are controllable with sliders

“Update: the XXXL Model (250M Parameters, Doubled Latent Size)”

Update: the XXXL model (250M parameters, doubled latent size)

“This Anime Does Not Exist [Blog]”

This Anime Does Not Exist [blog]

“Animating GAnime With StyleGAN: Part 1—Introducing a Tool for Interacting With Generative Models”

Animating gAnime with StyleGAN: Part 1—Introducing a tool for interacting with generative models

“FGO StyleGAN: This Heroic Spirit Doesn’t Exist”

FGO StyleGAN: This Heroic Spirit Doesn’t Exist⁠:

View HTML (154MB):

/doc/www/towardsdatascience.com/c1dd2071b06d259a6316ac6563d7ecfaf319a972.html

“[P] StyleGAN on Anime Faces”

[P] StyleGAN on Anime Faces⁠:

View HTML:

/doc/www/old.reddit.com/8b05942f0f814f7dc5b10856d709c6eff41a22bc.html

“Генерация Аниме С Помощью Нейросети StyleGAN”

Генерация аниме с помощью нейросети StyleGAN⁠:

View External Link:

https://www.reg.ru/blog/anime-generation-with-stylegan/

“These Waifus Do Not Exist”

These Waifus Do Not Exist⁠:

https://www.youtube.com/watch?v=IVJhOjSHOAc

“This Anime Does Not Exist [Video]”

This Anime Does Not Exist [video]⁠:

https://www.youtube.com/watch?v=vXUFchjWR58

TazikShahjahan

Played around with @gwern’s TWDNEv2 model to generate images of Hayasaka Ai! This is after ~9 hours of training (n = 300+). Stopped working on it after a bit, so a bunch of potential improvements. More thoughts here: https://github.com/ZKTKZ/thdne/bl⁠:

/doc/www/localhost/bf8cdb516c30c884d7bfb80930516de66d5d88aa.html

advadnoun

This is great! Now that the model can be used in PyTorch, I've starting playing with @AydaoAI's anime StyleGAN directly guided by CLIP. Starting slow by searching for Asuka by name in the latent space.⁠:

/doc/www/localhost/36a5a29a395f691b320d2a2019f5886e0c7a7657.html

arfafax

Some heavily cherrypicked samples from transfer learning using @AydaoAI’s enhanced StyleGAN2 anime model after 2 days.⁠:

/doc/www/localhost/50927d3a0b6f4be79622c668a15ad1df83a7be72.html

l4rz

here are 120K 𝑤 samples from @AydaoAI’s large anime model (aka TADNE) clustered into a set of 256 centroids. 𝘸𝘢𝘵𝘤𝘩 𝘪𝘵 𝘴𝘩𝘪𝘯𝘦

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