- See Also
-
Links
- “High-Quality Synthetic Character Image Extraction via Distortion Recognition”, Sawada et al 2023
- “Rosetta Neurons: Mining the Common Units in a Model Zoo”, Dravid et al 2023
- “Exposing Flaws of Generative Model Evaluation Metrics and Their Unfair Treatment of Diffusion Models”, Stein et al 2023
- “Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”, Wei et al 2023
- “Generalizable Synthetic Image Detection via Language-guided Contrastive Learning”, Wu et al 2023
- “Drag Your GAN (DragGAN): Interactive Point-based Manipulation on the Generative Image Manifold”, Pan et al 2023
- “Parsing-Conditioned Anime Translation: A New Dataset and Method”, Li et al 2023c
- “KD-DLGAN: Data Limited Image Generation via Knowledge Distillation”, Cui et al 2023
- “FEditNet: Few-shot Editing of Latent Semantics in GAN Spaces”, Xia et al 2023
- “StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis”, Sauer et al 2023
- “DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editings”, Li et al 2023
- “HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis”, Zhou et al 2022b
- “Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN”, Hu et al 2022b
- “We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Ko et al 2022b
- “Brain2GAN: Reconstructing Perceived Faces from the Primate Brain via StyleGAN3”, Anonymous 2022
- “VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Yang et al 2022
- “Fast Text2StyleGAN: Text-Free Learning of a Natural Language Interface for Pretrained Face Generators”, Du et al 2022
- “User-Controllable Latent Transformer for StyleGAN Image Layout Editing”, Endo 2022
- “Generator Knows What Discriminator Should Learn in Unconditional GANs”, Lee et al 2022
- “CelebV-HQ: A Large-Scale Video Facial Attributes Dataset”, Zhu et al 2022
- “InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images”, Li et al 2022
- “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Wang et al 2022b
- “Controlling StyleGANs Using Rough Scribbles via One-shot Learning”, Endo & Kanamori 2022
- “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Lee et al 2022
- “Diffusion-GAN: Training GANs With Diffusion”, Wang et al 2022
- “MontageGAN: Generation and Assembly of Multiple Components by GANs”, Shee & Uchida 2022
- “Cross-Domain Style Mixing for Face Cartoonization”, Kim et al 2022
- “StyleGAN-Human: A Data-Centric Odyssey of Human Generation”, Fu et al 2022
- “Pastiche Master (DualStyleGAN): 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"”, Yang et al 2022
- “Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values”, Humayun et al 2022
- “State-of-the-Art in the Architecture, Methods and Applications of StyleGAN”, Bermano et al 2022
- “Self-Distilled StyleGAN: Towards Generation from Internet Photos”, Mokady et al 2022
- “AI-synthesized Faces Are Indistinguishable from Real Faces and More Trustworthy”, Nightingale & Farid 2022
- “StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets”, Sauer et al 2022
- “Pro-PULSE: Learning Progressive Encoders of Latent Semantics in GANs for Photo Upsampling”, Zhou et al 2022
- “StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2”, Skorokhodov et al 2021
- “Efficient Geometry-Aware 3D Generative Adversarial Networks”, Chan et al 2021
- “CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions”, Abdal et al 2021
- “HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing”, Alaluf et al 2021
- “LAFITE: Towards Language-Free Training for Text-to-Image Generation”, Zhou et al 2021
- “Improving Visual Quality of Image Synthesis by A Token-based Generator With Transformers”, Zeng et al 2021
- “StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis”, Schaldenbrand et al 2021
- “StyleAlign: Analysis and Applications of Aligned StyleGAN Models”, Wu et al 2021
- “Fine-Grained Control of Artistic Styles in Image Generation”, Miao et al 2021
- “Pose With Style: Detail-Preserving Pose-Guided Image Synthesis With Conditional StyleGAN”, AlBahar et al 2021
- “DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b
- “Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, Vavilala & Forsyth 2021
- “LARGE: Latent-Based Regression through GAN Semantics”, Nitzan et al 2021
- “Alias-Free Generative Adversarial Networks”, Karras et al 2021
- “AdvStyle: Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes”, Yang et al 2021
- “Lazy, a Tool for Running Things in Idle Time”, nshepperd 2021
- “Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing”, Kim et al 2021
- “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Wang et al 2021
- “Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace”, Lang et al 2021
- “Cross-Domain and Disentangled Face Manipulation With 3D Guidance”, Wang et al 2021
- “DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort”, Zhang et al 2021
- “Labels4Free: Unsupervised Segmentation Using StyleGAN”, Abdal et al 2021
- “Few-shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori 2021
- “Repurposing GANs for One-shot Semantic Part Segmentation”, Tritrong et al 2021
- “Generative Adversarial Transformers”, Hudson & Zitnick 2021
- “Generating Images from Caption and vice Versa via CLIP-Guided Generative Latent Space Search”, Galatolo et al 2021
- “Scoring Images from TADNE With CLIP”, nagolinc 2021
- “This Anime Does Not Exist.ai (TADNE)”, Nearcyan et al 2021
- “Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020
- “End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks”, Xue 2020
- “Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network”, Huang et al 2020
- “Toonify: Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains”, Pinkney & Adler 2020
- “Not-so-BigGAN: Generating High-Fidelity Images on Small Compute With Wavelet-based Super-Resolution”, Han et al 2020
- “StyleGAN Network Blending”, Pinkney 2020
- “Rewriting a Deep Generative Model”, Bau et al 2020
- “Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou 2020
- “This Pony Does Not Exist”, Arfafax 2020
- “Differentiable Augmentation for Data-Efficient GAN Training”, Zhao et al 2020
- “StyleGAN2-ADA: Training Generative Adversarial Networks With Limited Data”, Karras et al 2020
- “On Data Augmentation for GAN Training”, Tran et al 2020
- “Image Augmentations for GAN Training”, Zhao et al 2020
- “This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax 2020
- “The Internet Furry Drama Raising Big Questions About Artificial Intelligence”, Kimball 2020
- “Anime Crop Datasets: Faces, Figures, & Hands”, Branwen et al 2020
- “This Fursona Does Not Exist”, Arfafax 2020
- “Ambigrammatic Figures: 55 Grotesque Ambigrams”, Levin & Huang 2020
- “Practical Aspects of StyleGAN2 Training”, l4rz 2020
- “Evolving Normalization-Activation Layers”, Liu et al 2020
- “GANSpace: Discovering Interpretable GAN Controls”, Härkönen et al 2020
- “Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples”, Sinha et al 2020
- “Unsupervised Discovery of Interpretable Directions in the GAN Latent Space”, Voynov & Babenko 2020
- “Conditional Image Generation and Manipulation for User-Specified Content § Pg3”, Stap & al 2020 (page 3)
- “Analyzing and Improving the Image Quality of StyleGAN”, Karras et al 2019
- “Detecting GAN Generated Errors”, Zhu et al 2019
- “Talking Head Anime from a Single Image”, Khungurn 2019
- “Stabilizing Generative Adversarial Networks: A Survey”, Wiatrak et al 2019
- “Artbreeder”, Simon 2019
- “Interpreting the Latent Space of GANs for Semantic Face Editing”, Shen et al 2019
- “How We Built the Waifu Vending Machine”, Studios 2019
- “Waifu Labs”, Studios 2019
- “On the "steerability" of Generative Adversarial Networks”, Jahanian et al 2019
- “Style Generator Inversion for Image Enhancement and Animation”, Gabbay & Hoshen 2019
- “NoGAN: Decrappification, DeOldification, and Super Resolution”, Antic et al 2019
- “Improved Precision and Recall Metric for Assessing Generative Models”, Kynkäänniemi et al 2019
- “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Abdal et al 2019
- “The Machine As Author”, Gervais 2019
- “MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks”, Karnewar & Wang 2019
- “ThisWaifuDoesNotExist.net”, Branwen 2019
- “This Waifu Does Not Exist”, Gwern 2019
- “This Person Does Not Exist”, Wang 2019
- “Making Anime Faces With StyleGAN”, Gwern 2019
- “FIGR: Few-shot Image Generation With Reptile”, Clouâtre & Demers 2019
- “A Style-Based Generator Architecture for Generative Adversarial Networks”, Karras et al 2018
- “Spatially Controllable Image Synthesis With Internal Representation Collaging”, Suzuki et al 2018
- “Discriminator Rejection Sampling”, Azadi et al 2018
- “On Self Modulation for Generative Adversarial Networks”, Chen et al 2018
- “Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow”, Peng et al 2018
- “ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Wang et al 2018
- “Cartoon Set”, Royer et al 2018
- “Style2Paints GitHub Repository”, Zhang et al 2018
- “Inverting The Generator Of A Generative Adversarial Network (II)”, Creswell & Bharath 2018
- “StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
- “Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Jin et al 2017
- “Megapixel Size Image Creation Using Generative Adversarial Networks”, Marchesi 2017
- “AdaIN: Arbitrary Style Transfer in Real-time With Adaptive Instance Normalization”, Huang & Belongie 2017
- “StackGAN: Text to Photo-realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2016
-
“
Illustration2Vec: a Semantic Vector Representation of Illustrations”, Masaki & Matsui 2015 - “Ukiyo-e Search”, Resig 2013
- “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”
- “Generating New Watch Designs With StyleGAN”
- “Scaling up StyleGAN2”
- “Update: the XXXL Model (250M Parameters, Doubled Latent Size)”
- “This President Does Not Exist: Generating Artistic Portraits of Donald Trump Using StyleGAN Transfer Learning: Theory and Implementation in Tensorflow”
- “Network-snapshot-057891.pkl”
- “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
- “StyleGAN for Evil: Trypophobia and Clockwork Oranging”
- “Animating GAnime With StyleGAN: Part 1 - Introducing a Tool for Interacting With Generative Models”
- “FGO StyleGAN: This Heroic Spirit Doesn’t Exist”
- advadnoun
- arfafax
- dribnet
- “How I Learned to Stop Worrying and Love Transfer Learning”
- “Now Anyone Can Train Imagenet in 18 Minutes”
- “[P] StyleGAN on Anime Faces”
- “Removing Blob Artifact from StyleGAN Generations without Retraining. Inspired by StyleGAN2”
- “I Trained a StyleGAN on Images of Butterflies from the Natural History Museum in London.”
- “Генерация Аниме С Помощью Нейросети StyleGAN”
- “Random Walk StyleGAN”
- “Generative Modeling by Estimating Gradients of the Data Distribution”
- Sort By Magic
- Miscellaneous
- Link Bibliography
See Also
Links
“High-Quality Synthetic Character Image Extraction via Distortion Recognition”, Sawada et al 2023
“High-Quality Synthetic Character Image Extraction via Distortion Recognition”
“Rosetta Neurons: Mining the Common Units in a Model Zoo”, Dravid et al 2023
“Exposing Flaws of Generative Model Evaluation Metrics and Their Unfair Treatment of Diffusion Models”, Stein et al 2023
“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”
“Drag Your GAN (DragGAN): Interactive Point-based Manipulation on the Generative Image Manifold”, Pan et al 2023
“Drag Your GAN (DragGAN): Interactive Point-based Manipulation on the Generative Image Manifold”
“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”
“StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis”, Sauer et al 2023
“StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis”
“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
“Brain2GAN: Reconstructing Perceived Faces from the Primate Brain via StyleGAN3”, Anonymous 2022
“Brain2GAN: Reconstructing perceived faces from the primate brain via StyleGAN3”
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Yang et al 2022
“VToonify: Controllable High-Resolution Portrait Video Style Transfer”
“Fast Text2StyleGAN: Text-Free Learning of a Natural Language Interface for Pretrained Face Generators”, Du et al 2022
“User-Controllable Latent Transformer for StyleGAN Image Layout Editing”, Endo 2022
“User-Controllable Latent Transformer for StyleGAN Image Layout Editing”
“Generator Knows What Discriminator Should Learn in Unconditional GANs”, Lee et al 2022
“Generator Knows What Discriminator Should Learn in Unconditional GANs”
“CelebV-HQ: A Large-Scale Video Facial Attributes Dataset”, Zhu et al 2022
“InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images”, Li et al 2022
“InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images”
“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”
“BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Lee et al 2022
“BigVGAN: A Universal Neural Vocoder with Large-Scale Training”
“Diffusion-GAN: Training GANs With Diffusion”, Wang et al 2022
“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
“StyleGAN-Human: A Data-Centric Odyssey of Human Generation”, Fu et al 2022
“StyleGAN-Human: A Data-Centric Odyssey of Human Generation”
“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
“Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values”, Humayun et al 2022
“State-of-the-Art in the Architecture, Methods and Applications of StyleGAN”, Bermano et al 2022
“State-of-the-Art in the Architecture, Methods and Applications of StyleGAN”
“Self-Distilled StyleGAN: Towards Generation from Internet Photos”, Mokady et al 2022
“Self-Distilled StyleGAN: Towards Generation from Internet Photos”
“AI-synthesized Faces Are Indistinguishable from Real Faces and More Trustworthy”, Nightingale & Farid 2022
“AI-synthesized faces are indistinguishable from real faces and more trustworthy”
“StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets”, Sauer et al 2022
“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”
“StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2”, Skorokhodov et al 2021
“StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2”
“Efficient Geometry-Aware 3D Generative Adversarial Networks”, Chan et al 2021
“Efficient Geometry-Aware 3D Generative Adversarial Networks”
“CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions”, Abdal et al 2021
“CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions”
“HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing”, Alaluf et al 2021
“HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing”
“LAFITE: Towards Language-Free Training for Text-to-Image Generation”, Zhou et al 2021
“LAFITE: Towards Language-Free Training for Text-to-Image Generation”
“Improving Visual Quality of Image Synthesis by A Token-based Generator With Transformers”, Zeng et al 2021
“Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers”
“StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis”, Schaldenbrand et al 2021
“StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis”
“StyleAlign: Analysis and Applications of Aligned StyleGAN Models”, Wu et al 2021
“StyleAlign: Analysis and Applications of Aligned StyleGAN Models”
“Fine-Grained Control of Artistic Styles in Image Generation”, Miao et al 2021
“Fine-Grained Control of Artistic Styles in Image Generation”
“Pose With Style: Detail-Preserving Pose-Guided Image Synthesis With Conditional StyleGAN”, AlBahar et al 2021
“Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN”
“DP-LaSE: Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations”, Li et al 2021b
“Controlled GAN-Based Creature Synthesis via a Challenging Game Art Dataset—Addressing the Noise-Latent Trade-Off”, Vavilala & Forsyth 2021
“LARGE: Latent-Based Regression through GAN Semantics”, Nitzan et al 2021
“Alias-Free Generative Adversarial Networks”, Karras et al 2021
“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”
“Lazy, a Tool for Running Things in Idle Time”, nshepperd 2021
“Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing”, Kim et al 2021
“Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing”
“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”
“Explaining in Style: Training a GAN to Explain a Classifier in StyleSpace”, Lang et al 2021
“Explaining in Style: Training a GAN to explain a classifier in StyleSpace”
“Cross-Domain and Disentangled Face Manipulation With 3D Guidance”, Wang et al 2021
“Cross-Domain and Disentangled Face Manipulation with 3D Guidance”
“DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort”, Zhang et al 2021
“DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort”
“Labels4Free: Unsupervised Segmentation Using StyleGAN”, Abdal et al 2021
“Few-shot Semantic Image Synthesis Using StyleGAN Prior”, Endo & Kanamori 2021
“Repurposing GANs for One-shot Semantic Part Segmentation”, Tritrong et al 2021
“Generative Adversarial Transformers”, Hudson & Zitnick 2021
“Generating Images from Caption and vice Versa via CLIP-Guided Generative Latent Space Search”, Galatolo et al 2021
“Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search”
“Scoring Images from TADNE With CLIP”, nagolinc 2021
“This Anime Does Not Exist.ai (TADNE)”, Nearcyan et al 2021
“Data Instance Prior for Transfer Learning in GANs”, Mangla et al 2020
“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”
“Not-so-BigGAN: Generating High-Fidelity Images on Small Compute With Wavelet-based Super-Resolution”, Han et al 2020
“StyleGAN Network Blending”, Pinkney 2020
“Rewriting a Deep Generative Model”, Bau et al 2020
“Closed-Form Factorization of Latent Semantics in GANs”, Shen & Zhou 2020
“This Pony Does Not Exist”, Arfafax 2020
“Differentiable Augmentation for Data-Efficient GAN Training”, Zhao et al 2020
“Differentiable Augmentation for Data-Efficient GAN Training”
“StyleGAN2-ADA: Training Generative Adversarial Networks With Limited Data”, Karras et al 2020
“StyleGAN2-ADA: Training Generative Adversarial Networks with Limited Data”
“On Data Augmentation for GAN Training”, Tran et al 2020
“Image Augmentations for GAN Training”, Zhao et al 2020
“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”, Branwen et al 2020
“This Fursona Does Not Exist”, Arfafax 2020
“Ambigrammatic Figures: 55 Grotesque Ambigrams”, Levin & Huang 2020
“Practical Aspects of StyleGAN2 Training”, l4rz 2020
“Evolving Normalization-Activation Layers”, Liu et al 2020
“GANSpace: Discovering Interpretable GAN Controls”, Härkönen et al 2020
“Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples”, Sinha et al 2020
“Top-K Training of GANs: Improving GAN Performance by Throwing Away Bad Samples”
“Unsupervised Discovery of Interpretable Directions in the GAN Latent Space”, Voynov & Babenko 2020
“Unsupervised Discovery of Interpretable Directions in the GAN Latent Space”
“Conditional Image Generation and Manipulation for User-Specified Content § Pg3”, Stap & al 2020 (page 3)
“Conditional Image Generation and Manipulation for User-Specified Content § pg3”
“Analyzing and Improving the Image Quality of StyleGAN”, Karras et al 2019
“Detecting GAN Generated Errors”, Zhu et al 2019
“Talking Head Anime from a Single Image”, Khungurn 2019
“Stabilizing Generative Adversarial Networks: A Survey”, Wiatrak et al 2019
“Artbreeder”, Simon 2019
“Interpreting the Latent Space of GANs for Semantic Face Editing”, Shen et al 2019
“Interpreting the Latent Space of GANs for Semantic Face Editing”
“How We Built the Waifu Vending Machine”, Studios 2019
“Waifu Labs”, Studios 2019
“On the "steerability" of Generative Adversarial Networks”, Jahanian et al 2019
“Style Generator Inversion for Image Enhancement and Animation”, Gabbay & Hoshen 2019
“Style Generator Inversion for Image Enhancement and Animation”
“NoGAN: Decrappification, DeOldification, and Super Resolution”, Antic et al 2019
“NoGAN: Decrappification, DeOldification, and Super Resolution”
“Improved Precision and Recall Metric for Assessing Generative Models”, Kynkäänniemi et al 2019
“Improved Precision and Recall Metric for Assessing Generative Models”
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Abdal et al 2019
“Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”
“The Machine As Author”, Gervais 2019
“MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks”, Karnewar & Wang 2019
“MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks”
“ThisWaifuDoesNotExist.net”, Branwen 2019
“This Waifu Does Not Exist”, Gwern 2019
“This Person Does Not Exist”, Wang 2019
“Making Anime Faces With StyleGAN”, Gwern 2019
“FIGR: Few-shot Image Generation With Reptile”, Clouâtre & Demers 2019
“A Style-Based Generator Architecture for Generative Adversarial Networks”, Karras et al 2018
“A Style-Based Generator Architecture for Generative Adversarial Networks”
“Spatially Controllable Image Synthesis With Internal Representation Collaging”, Suzuki et al 2018
“Spatially Controllable Image Synthesis with Internal Representation Collaging”
“Discriminator Rejection Sampling”, Azadi et al 2018
“On Self Modulation for Generative Adversarial Networks”, Chen et al 2018
“Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow”, Peng et al 2018
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”, Wang et al 2018
“ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks”
“Cartoon Set”, Royer et al 2018
“Style2Paints GitHub Repository”, Zhang et al 2018
“Inverting The Generator Of A Generative Adversarial Network (II)”, Creswell & Bharath 2018
“Inverting The Generator Of A Generative Adversarial Network (II)”
“StackGAN++: Realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2017
“StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks”
“Towards the Automatic Anime Characters Creation With Generative Adversarial Networks”, Jin et al 2017
“Towards the Automatic Anime Characters Creation with Generative Adversarial Networks”
“Megapixel Size Image Creation Using Generative Adversarial Networks”, Marchesi 2017
“Megapixel Size Image Creation using Generative Adversarial Networks”
“AdaIN: Arbitrary Style Transfer in Real-time With Adaptive Instance Normalization”, Huang & Belongie 2017
“AdaIN: Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization”
“StackGAN: Text to Photo-realistic Image Synthesis With Stacked Generative Adversarial Networks”, Zhang et al 2016
“StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks”
“Illustration2Vec: a Semantic Vector Representation of Illustrations”, Masaki & Matsui 2015
“Illustration2Vec: a semantic vector representation of illustrations”
“Ukiyo-e Search”, Resig 2013
“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”
“Generating New Watch Designs With StyleGAN”
“Scaling up StyleGAN2”
“Update: the XXXL Model (250M Parameters, Doubled Latent Size)”
“Update: the XXXL model (250M parameters, doubled latent size)”
“This President Does Not Exist: Generating Artistic Portraits of Donald Trump Using StyleGAN Transfer Learning: Theory and Implementation in Tensorflow”
“Network-snapshot-057891.pkl”
“TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC 2023
“StyleGAN for Evil: Trypophobia and Clockwork Oranging”
“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”
advadnoun
arfafax
dribnet
“How I Learned to Stop Worrying and Love Transfer Learning”
“Now Anyone Can Train Imagenet in 18 Minutes”
“[P] StyleGAN on Anime Faces”
“Removing Blob Artifact from StyleGAN Generations without Retraining. Inspired by StyleGAN2”
“Removing blob artifact from StyleGAN generations without retraining. Inspired by StyleGAN2”
“I Trained a StyleGAN on Images of Butterflies from the Natural History Museum in London.”
“I trained a StyleGAN on images of butterflies from the Natural History Museum in London.”
“Генерация Аниме С Помощью Нейросети StyleGAN”
“Random Walk StyleGAN”
“Generative Modeling by Estimating Gradients of the Data Distribution”
“Generative Modeling by Estimating Gradients of the Data Distribution”
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Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
anime-generation
style-transfer
gan-segmentation
gan-evaluation
scaling
Miscellaneous
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https://blog.metaphysic.ai/the-road-to-realistic-full-body-deepfakes/ -
https://digital-thinking.de/watchgan-advancing-generated-watch-images-with-stylegans/ -
https://github.com/HighCWu/stylegan2-pytorch2paddle/blob/tadne/convert_weight.py -
https://github.com/NVlabs/stylegan/blob/master/generate_figures.py -
https://github.com/NVlabs/stylegan/blob/master/pretrained_example.py -
https://github.com/NVlabs/stylegan/blob/master/training/training_loop.py#L112 -
https://github.com/NVlabs/stylegan/blob/master/training/training_loop.py#L136 -
https://github.com/Puzer/stylegan-encoder-encoder/blob/master/Play_with_latent_directions.ipynb -
https://github.com/ak9250/stylegan-art/blob/master/styleganportraits.ipynb -
https://github.com/aydao/stylegan2-surgery/tree/model-release -
https://github.com/cs-chan/ArtGAN/tree/master/WikiArt%20Dataset -
https://github.com/halcy/stylegan/blob/master/Stylegan-Generate-Encode.ipynb -
https://github.com/martinarjovsky/WassersteinGAN/issues/2#issuecomment-278710552 -
https://github.com/taziksh/hayasaka.ai/blob/master/StyleGAN2_Tazik_25GB_RAM.ipynb -
https://github.com/xunings/styleganime2/blob/master/misc/ranker.py -
https://nvlabs-fi-cdn.nvidia.com/_web/alias-free-gan/videos/video_3_afhq_interpolations.mp4 -
https://towardsdatascience.com/creating-new-scripts-with-stylegan-c16473a50fd0 -
https://twitter.com/RiversHaveWings/status/1516928082262650881 -
https://www.deviantart.com/caji9i/art/stylegan-neural-ahegao-842847987 -
https://www.kaggle.com/code/andy8744/generating-ganyu-from-trained-model/notebook -
https://www.kaggle.com/datasets/andy8744/rezero-rem-anime-faces-for-gan-training -
https://www.reddit.com/r/MachineLearning/comments/akbc11/p_tag_estimation_for_animestyle_girl_image/ -
https://www.reddit.com/r/MachineLearning/comments/apq4xu/p_stylegan_on_anime_faces/egf8pvt/ -
https://www.reddit.com/r/MachineLearning/comments/apq4xu/p_stylegan_on_anime_faces/egmyf60/ -
https://www.reddit.com/r/MachineLearning/comments/bkrn3i/p_stylegan_trained_on_album_covers/ -
https://www.reddit.com/r/MediaSynthesis/comments/tiil1b/xx_waifu_01_xx_loop_by_squaremusher/ -
https://www.reddit.com/r/computervision/comments/bfcnbj/p_stylegan_on_oxford_visual_geometry_group/ -
https://zlkj.in/tmp/stylegan/00051-sgan-danbooru-512px-1gpu-progan/
Link Bibliography
-
https://arxiv.org/abs/2306.09346: “Rosetta Neurons: Mining the Common Units in a Model Zoo”, Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher -
https://arxiv.org/abs/2305.10973: “Drag Your GAN (DragGAN): Interactive Point-based Manipulation on the Generative Image Manifold”, Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt -
https://arxiv.org/abs/2301.09515#nvidia: “StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis”, Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila -
2022-ko-2.pdf: “We-toon: A Communication Support System between Writers and Artists in Collaborative Webtoon Sketch Revision”, Hyung-Kwon Ko, Subin An, Gwanmo Park, Seung Kwon Kim, Daesik Kim, Bohyoung Kim, Jaemin Jo, Jinwook Seo -
https://arxiv.org/abs/2209.11224: “VToonify: Controllable High-Resolution Portrait Video Style Transfer”, Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy -
https://arxiv.org/abs/2209.03953: “Fast Text2StyleGAN: Text-Free Learning of a Natural Language Interface for Pretrained Face Generators”, Xiaodan Du, Raymond A. Yeh, Nicholas Kolkin, Eli Shechtman, Greg Shakhnarovich -
https://arxiv.org/abs/2208.12408: “User-Controllable Latent Transformer for StyleGAN Image Layout Editing”, Yuki Endo -
2022-wang-2.pdf: “Generalizing Factorization of GANs by Characterizing Convolutional Layers”, Yuehui Wang, Qing Wang, Dongyu Zhang -
https://arxiv.org/abs/2206.04658#nvidia: “BigVGAN: A Universal Neural Vocoder With Large-Scale Training”, Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon -
https://github.com/williamyang1991/DualStyleGAN: “DualStyleGAN: Official PyTorch Implementation for "Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer"”, Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy -
https://arxiv.org/abs/2203.01993: “Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values”, Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk -
https://arxiv.org/abs/2202.12211#google: “Self-Distilled StyleGAN: Towards Generation from Internet Photos”, Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri -
https://arxiv.org/abs/2202.00273: “StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets”, Axel Sauer, Katja Schwarz, Andreas Geiger -
https://arxiv.org/abs/2112.14683: “StyleGAN-V: A Continuous Video Generator With the Price, Image Quality and Perks of StyleGAN2”, Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny -
https://arxiv.org/abs/2112.07945#nvidia: “Efficient Geometry-Aware 3D Generative Adversarial Networks”, -
https://arxiv.org/abs/2111.03133: “StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Synthesis”, Peter Schaldenbrand, Zhixuan Liu, Jean Oh -
https://arxiv.org/abs/2104.13742: “MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains”, Yaxing Wang, Abel Gonzalez-Garcia, Chenshen Wu, Luis Herranz, Fahad Shahbaz Khan, Shangling Jui, Joost van de Weijer -
https://arxiv.org/abs/2102.01645: “Generating Images from Caption and vice Versa via CLIP-Guided Generative Latent Space Search”, Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini -
https://github.com/nagolinc/notebooks/blob/main/TADNE_and_CLIP.ipynb: “Scoring Images from TADNE With CLIP”, nagolinc -
https://thisanimedoesnotexist.ai/: “This Anime Does Not Exist.ai (TADNE)”, Nearcyan, Aydao, Shawn Presser, Gwern Branwen -
https://arxiv.org/abs/2009.04433: “Not-so-BigGAN: Generating High-Fidelity Images on Small Compute With Wavelet-based Super-Resolution”, Seungwook Han, Akash Srivastava, Cole Hurwitz, Prasanna Sattigeri, David D. Cox -
https://www.justinpinkney.com/blog/2020/stylegan-network-blending/: “StyleGAN Network Blending”, Justin Pinkney -
https://thisponydoesnotexist.net/: “This Pony Does Not Exist”, Arfafax -
https://arxiv.org/abs/2006.10738: “Differentiable Augmentation for Data-Efficient GAN Training”, Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han -
https://fursona.app: “This Fursona Does Not Exist—Fursona Editor (Tensorflow Version)”, Arfafax -
crop: “Anime Crop Datasets: Faces, Figures, & Hands”, Gwern Branwen, Arfafax, Shawn Presser, Anonymous, Danbooru Community -
https://www.thisfursonadoesnotexist.com/: “This Fursona Does Not Exist”, Arfafax -
https://github.com/golanlevin/AmbigrammaticFigures: “Ambigrammatic Figures: 55 Grotesque Ambigrams”, Golan Levin, Lingdong Huang -
https://www.artbreeder.com/: “Artbreeder”, Joel Simon -
https://waifulabs.com/: “Waifu Labs”, Sizigi Studios -
2019-abdal.pdf: “Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?”, Rameen Abdal, Yipeng Qin, Peter Wonka -
https://www.thiswaifudoesnotexist.net/: “ThisWaifuDoesNotExist.net”, Gwern Branwen -
twdne: “This Waifu Does Not Exist”, Gwern -
https://web.archive.org/web/20230101012202/https://thispersondoesnotexist.com/: “This Person Does Not Exist”, Phillip Wang -
face: “Making Anime Faces With StyleGAN”, Gwern -
https://sites.research.google/trc/: “TensorFlow Research Cloud (TRC): Accelerate Your Cutting-edge Machine Learning Research With Free Cloud TPUs”, TRC