- See Also
-
Links
- “StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Et Al 2023
- “PMSGAN: Parallel Multistage GANs for Face Image Translation”, Et Al 2023
- “FAEC-GAN: An Unsupervised Face-to-anime Translation Based on Edge Enhancement and Coordinate Attention”, Et Al 2023
- “Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”, Et Al 2022
- “Seeing a Rose in 5,000 Ways”, Et Al 2022
- “Dr.3D: Adapting 3D GANs to Artistic Drawings”, Et Al 2022
- “Reference Based Sketch Extraction via Attention Mechanism”, Et Al 2022
- “Null-text Inversion for Editing Real Images Using Guided Diffusion Models”, Et Al 2022
- “An Analysis: Different Methods about Line Art Colorization”, Et Al 2022
- “Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization”, Et Al 2022
- “High Fidelity Neural Audio Compression”, Et Al 2022
- “GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images”, Et Al 2022
- “Musika! Fast Infinite Waveform Music Generation”, Pasini & 2022
- “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Et Al 2022
- “AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Et Al 2022
- “Learning to Generate Artistic Character Line Drawing”, Et Al 2022
- “Cascaded Video Generation for Videos In-the-Wild”, Et Al 2022
- “Why GANs Are Overkill for NLP”, Alvarez- Et Al 2022
- “VQGAN-CLIP: Open Domain Image Generation and Editing With Natural Language Guidance”, Et Al 2022
- “TATS: Long Video Generation With Time-Agnostic VQGAN and Time-Sensitive Transformer”, Et Al 2022
- “Imitating, Fast and Slow: Robust Learning from Demonstrations via Decision-time Planning”, Et Al 2022
- “MaxViT: Multi-Axis Vision Transformer”, Et Al 2022
- “Vector-quantized Image Modeling With Improved VQGAN”, Et Al 2022
- “Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks”, 2022
- “Microdosing: Knowledge Distillation for GAN Based Compression”, Et Al 2022
- “An Unsupervised Font Style Transfer Model Based on Generative Adversarial Networks”, 2021
- “Multimodal Conditional Image Synthesis With Product-of-Experts GANs”, Et Al 2021
- “TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems”, Et Al 2021
- “Compositional Transformers for Scene Generation”, 2021
- “Tackling the Generative Learning Trilemma With Denoising Diffusion GANs”, Et Al 2021
- “EditGAN: High-Precision Semantic Image Editing”, Et Al 2021
- “Projected GANs Converge Faster”, Et Al 2021
- “STransGAN: An Empirical Study on Transformer in GANs”, Et Al 2021
- “MSMT-GAN: Multi-Tailed, Multi-Headed, Spatial Dynamic Memory Refined Text-to-Image Synthesis”, 2021
- “Unpaired Font Family Synthesis Using Conditional Generative Adversarial Networks”, Et Al 2021
- “Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone”, Et Al 2021
- “Level Generation and Style Enhancement—deep Learning for Game Development Overview”, Et Al 2021
- “ViTGAN: Training GANs With Vision Transformers”, Et Al 2021
- “MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, Et Al 2021
- “HiT: Improved Transformer for High-Resolution GANs”, Et Al 2021
- “GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, 2021
- “MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation”, 2021
- “EigenGAN: Layer-Wise Eigen-Learning for GANs”, Et Al 2021
- “Image Super-Resolution via Iterative Refinement”, Et Al 2021
- “Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models”, Bond- Et Al 2021
- “AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, Et Al 2021
- “Improved Denoising Diffusion Probabilistic Models”, 2021
- “The Role of AI Attribution Knowledge in the Evaluation of Artwork”, 2021
- “XMC-GAN: Cross-Modal Contrastive Learning for Text-to-Image Generation”, Et Al 2021
- “Stylized-Colorization for Line Arts”, Et Al 2021
- “VQ-GAN: Taming Transformers for High-Resolution Image Synthesis”, Et Al 2020
- “Taming Transformers for High-Resolution Image Synthesis”, Et Al 2020
- “LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”, 2020
- “DStyle-GAN: Generative Adversarial Network Based on Writing and Photography Styles for Drug Identification in Darknet Markets”, Et Al 2020
- “Image Generators With Conditionally-Independent Pixel Synthesis”, Et Al 2020
- “Automatic Colorization of High-resolution Animation Style Line-art Based on Frequency Separation and Two-Stage Generator”, 2020b
- “RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, Et Al 2020
- “Few-Shot Adaptation of Generative Adversarial Networks”, Et Al 2020
- “HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, Et Al 2020
- “A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, Et Al 2020
- “Why Spectral Normalization Stabilizes GANs: Analysis and Improvements”, Et Al 2020
- “Denoising Diffusion Probabilistic Models”, Et Al 2020
- “Improving GAN Training With Probability Ratio Clipping and Sample Reweighting”, Et Al 2020
- “Object Segmentation Without Labels With Large-Scale Generative Models”, Et Al 2020
- “Learning to Simulate Dynamic Environments With GameGAN”, Et Al 2020
- “Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence”, Et Al 2020
- “Learning to Simulate Dynamic Environments With GameGAN [homepage]”, Et Al 2020
- “MakeItTalk: Speaker-Aware Talking-Head Animation”, Et Al 2020
- “Avatar Artist Using GAN [CS230]”, 2020
- “PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models”, Et Al 2020
- “Do We Need Zero Training Loss After Achieving Zero Training Error?”, Et Al 2020
- “E621 Face Dataset”, 2020
- “Smooth Markets: A Basic Mechanism for Organizing Gradient-based Learners”, Et Al 2020
- “StarGAN Based Facial Expression Transfer for Anime Characters”, 2020
- “Generating Furry Face Art from Sketches Using a GAN”, 2019
- “Interactive Anime Sketch Colorization With Style Consistency via a Deep Residual Neural Network”, Et Al 2019
- “Small-GAN: Speeding Up GAN Training Using Core-sets”, Et Al 2019
- “Parallel WaveGAN: A Fast Waveform Generation Model Based on Generative Adversarial Networks With Multi-resolution Spectrogram”, Et Al 2019
- “Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”, Et Al 2019
- “Anime Sketch Coloring With Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”, Et Al 2019
- “The Generative Adversarial Brain”, 2019
- “Adversarial Examples Are Not Bugs, They Are Features”, Et Al 2019
- “Few-Shot Unsupervised Image-to-Image Translation”, Et Al 2019
- “Compressing GANs Using Knowledge Distillation”, Et Al 2019
- “How AI Training Scales”, Et Al 2018
- “InGAN: Capturing and Remapping The”DNA” of a Natural Image”, Et Al 2018
- “GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint”, 2018
- “Language GANs Falling Short”, Et Al 2018
- “Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, 2018
- “IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis”, Et Al 2018
- “Sem-GAN: Semantically-Consistent Image-to-Image Translation”, 2018
- “The Relativistic Discriminator: a Key Element Missing from Standard GAN”, Jolicoeur-2018
- “Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Et Al 2018
- “A Variational Inequality Perspective on Generative Adversarial Networks”, Et Al 2018
- “ChatPainter: Improving Text to Image Generation Using Dialogue”, Et Al 2018
- “Spectral Normalization for Generative Adversarial Networks”, Et Al 2018
- “Unsupervised Cipher Cracking Using Discrete GANs”, Et Al 2018
- “Two-stage Sketch Colorization”, Et Al 2018
- “CycleGAN, a Master of Steganography”, Et Al 2017
- “Multi-Content GAN for Few-Shot Font Style Transfer”, Et Al 2017
- “High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs”, Et Al 2017
- “AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks”, Et Al 2017
- “Are GANs Created Equal? A Large-Scale Study”, Et Al 2017
- “StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation”, Et Al 2017
- “Style Transfer in Text: Exploration and Evaluation”, Et Al 2017
- “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings”, Et Al 2017
- “Mixed Precision Training”, Et Al 2017
- “Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, Et Al 2017
- “OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning”, Et Al 2017
- “Training Shallow and Thin Networks for Acceleration via Knowledge Distillation With Conditional Adversarial Networks”, Et Al 2017
- “PassGAN: A Deep Learning Approach for Password Guessing”, Et Al 2017
- “Learning Universal Adversarial Perturbations With Generative Models”, 2017
- “Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, Et Al 2017
- “Semi-Supervised Haptic Material Recognition for Robots Using Generative Adversarial Networks”, Et Al 2017
- “CAN: Creative Adversarial Networks, Generating”Art” by Learning About Styles and Deviating from Style Norms”, Et Al 2017
- “Language Generation With Recurrent Generative Adversarial Networks without Pre-training”, Et Al 2017
- “Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, Et Al 2017
- “Stabilizing Training of Generative Adversarial Networks through Regularization”, Et Al 2017
- “Accelerating Science With Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters”, Et Al 2017
- “Outline Colorization through Tandem Adversarial Networks”, 2017
- “Adversarial Neural Machine Translation”, Et Al 2017
- “Improved Training of Wasserstein GANs”, Et Al 2017
- “CycleGAN: Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks”, Et Al 2017
- “Mastering Sketching: Adversarial Augmentation for Structured Prediction”, Simo- Et Al 2017
- “I2T2I: Learning Text to Image Synthesis With Textual Data Augmentation”, Et Al 2017
- “Learning to Discover Cross-Domain Relations With Generative Adversarial Networks”, Et Al 2017
- “Improving Neural Machine Translation With Conditional Sequence Generative Adversarial Nets”, Et Al 2017
- “ArtGAN: Artwork Synthesis With Conditional Categorical GANs”, Et Al 2017
- “Wasserstein GAN”, Et Al 2017
- “NIPS 2016 Tutorial: Generative Adversarial Networks”, 2016
- “Stacked Generative Adversarial Networks”, Et Al 2016
- “Generative Adversarial Parallelization”, Et Al 2016
- “Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space”, Et Al 2016
- “Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Et Al 2016
- “A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models”, Et Al 2016
- “Connecting Generative Adversarial Networks and Actor-Critic Methods”, 2016
- “Neural Photo Editing With Introspective Adversarial Networks”, Et Al 2016
- “Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network”, Et Al 2016
- “InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”, Et Al 2016
- “Improved Techniques for Training GANs”, Et Al 2016
- “Generative Adversarial Imitation Learning”, 2016
- “Adversarial Feature Learning”, Et Al 2016
- “Generating Images With Recurrent Adversarial Networks”, Et Al 2016
- “Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks”, Et Al 2015
- “Generative Adversarial Networks”, Et Al 2014
- “Stochastic Weight Averaging and the Ornstein-Uhlenbeck Process”
- “IntroVAE: A PyTorch Implementation of Paper”IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis” ”
- “Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks”
- “Learning to Write Programs That Generate Images”
- “Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow [homepage]”
- Miscellaneous
- Link Bibliography
See Also
Links
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, Et Al 2023
“StencilTorch: An Iterative and User-Guided Framework for Anime Lineart Colorization”, 2023-02-04 (; similar)
“PMSGAN: Parallel Multistage GANs for Face Image Translation”, Et Al 2023
“PMSGAN: Parallel Multistage GANs for Face Image Translation”, 2023-01-10 (; similar)
“FAEC-GAN: An Unsupervised Face-to-anime Translation Based on Edge Enhancement and Coordinate Attention”, Et Al 2023
“FAEC-GAN: An unsupervised face-to-anime translation based on edge enhancement and coordinate attention”, 2023-01-03 (; similar)
“Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”, Et Al 2022
“Appearance-preserved Portrait-to-anime Translation via Proxy-guided Domain Adaptation”, 2022-12-12 (; similar)
“Seeing a Rose in 5,000 Ways”, Et Al 2022
“Seeing a Rose in 5,000 Ways”, 2022-12-09 (similar)
“Dr.3D: Adapting 3D GANs to Artistic Drawings”, Et Al 2022
“Dr.3D: Adapting 3D GANs to Artistic Drawings”, 2022-11-30 (; similar)
“Reference Based Sketch Extraction via Attention Mechanism”, Et Al 2022
“Reference Based Sketch Extraction via Attention Mechanism”, 2022-11-30 (; similar)
“Null-text Inversion for Editing Real Images Using Guided Diffusion Models”, Et Al 2022
“Null-text Inversion for Editing Real Images using Guided Diffusion Models”, 2022-11-17 (; similar)
“An Analysis: Different Methods about Line Art Colorization”, Et Al 2022
“An analysis: different methods about line art colorization”, 2022-11-10 (; similar)
“Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization”, Et Al 2022
“Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization”, 2022-10-25 (; similar)
“High Fidelity Neural Audio Compression”, Et Al 2022
“High Fidelity Neural Audio Compression”, 2022-10-24 (; similar; bibliography)
“GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images”, Et Al 2022
“GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images”, 2022-09-22 (similar)
“Musika! Fast Infinite Waveform Music Generation”, Pasini & 2022
“Musika! Fast Infinite Waveform Music Generation”, 2022-08-18 (; similar)
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Et Al 2022
“Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, 2022-07-28 (; similar; bibliography)
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, Et Al 2022
“AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos”, 2022-06-14 (; similar)
“Learning to Generate Artistic Character Line Drawing”, Et Al 2022
“Learning to Generate Artistic Character Line Drawing”, 2022-06-07 (; similar)
“Cascaded Video Generation for Videos In-the-Wild”, Et Al 2022
“Cascaded Video Generation for Videos In-the-Wild”, 2022-06-01 (; similar)
“Why GANs Are Overkill for NLP”, Alvarez- Et Al 2022
“Why GANs are overkill for NLP”, 2022-05-19 (similar)
“VQGAN-CLIP: Open Domain Image Generation and Editing With Natural Language Guidance”, Et Al 2022
“VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance”, 2022-04-18 (; similar)
“TATS: Long Video Generation With Time-Agnostic VQGAN and Time-Sensitive Transformer”, Et Al 2022
“TATS: Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer”, 2022-04-07 (; similar; bibliography)
“Imitating, Fast and Slow: Robust Learning from Demonstrations via Decision-time Planning”, Et Al 2022
“Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning”, 2022-04-07 (; similar)
“MaxViT: Multi-Axis Vision Transformer”, Et Al 2022
“MaxViT: Multi-Axis Vision Transformer”, 2022-04-04 (; similar)
“Vector-quantized Image Modeling With Improved VQGAN”, Et Al 2022
“Vector-quantized Image Modeling with Improved VQGAN”, 2022-03-01 (; similar; bibliography)
“Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks”, 2022
“Using Constant Learning Rate of Two Time-Scale Update Rule for Training Generative Adversarial Networks”, 2022-01-28 (similar)
“Microdosing: Knowledge Distillation for GAN Based Compression”, Et Al 2022
“Microdosing: Knowledge Distillation for GAN based Compression”, 2022-01-07 (; similar)
“An Unsupervised Font Style Transfer Model Based on Generative Adversarial Networks”, 2021
“An unsupervised font style transfer model based on generative adversarial networks”, 2021-12-15 (; similar)
“Multimodal Conditional Image Synthesis With Product-of-Experts GANs”, Et Al 2021
“Multimodal Conditional Image Synthesis with Product-of-Experts GANs”, 2021-12-09 (similar)
“TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems”, Et Al 2021
“TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems”, 2021-11-19 (; similar)
“Compositional Transformers for Scene Generation”, 2021
“Compositional Transformers for Scene Generation”, 2021-11-17 (; similar)
“Tackling the Generative Learning Trilemma With Denoising Diffusion GANs”, Et Al 2021
“Tackling the Generative Learning Trilemma with Denoising Diffusion GANs”, 2021-11-12 (; similar)
“EditGAN: High-Precision Semantic Image Editing”, Et Al 2021
“EditGAN: High-Precision Semantic Image Editing”, 2021-11-04 (similar)
“Projected GANs Converge Faster”, Et Al 2021
“Projected GANs Converge Faster”, 2021-11-01 (; backlinks; similar; bibliography)
“STransGAN: An Empirical Study on Transformer in GANs”, Et Al 2021
“STransGAN: An Empirical Study on Transformer in GANs”, 2021-10-25 (; similar)
“MSMT-GAN: Multi-Tailed, Multi-Headed, Spatial Dynamic Memory Refined Text-to-Image Synthesis”, 2021
“MSMT-GAN: Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis”, 2021-10-15 (similar)
“Unpaired Font Family Synthesis Using Conditional Generative Adversarial Networks”, Et Al 2021
“Unpaired font family synthesis using conditional generative adversarial networks”, 2021-10-11 (; similar)
“Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone”, Et Al 2021
“Fake It Till You Make It: Face analysis in the wild using synthetic data alone”, 2021-09-30 (similar)
“Level Generation and Style Enhancement—deep Learning for Game Development Overview”, Et Al 2021
“Level generation and style enhancement—deep learning for game development overview”, 2021-07-15 (similar; bibliography)
“ViTGAN: Training GANs With Vision Transformers”, Et Al 2021
“ViTGAN: Training GANs with Vision Transformers”, 2021-07-09 (; similar; bibliography)
“MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, Et Al 2021
“MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis”, 2021-06-15 (; backlinks; similar)
“HiT: Improved Transformer for High-Resolution GANs”, Et Al 2021
“HiT: Improved Transformer for High-Resolution GANs”, 2021-06-14 (; similar; bibliography)
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for Videos Too!)”, 2021
“GANs N’ Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)”, 2021-06-11 (; similar)
“EigenGAN: Layer-Wise Eigen-Learning for GANs”, Et Al 2021
“EigenGAN: Layer-Wise Eigen-Learning for GANs”, 2021-04-26 (; similar)
“Image Super-Resolution via Iterative Refinement”, Et Al 2021
“Image Super-Resolution via Iterative Refinement”, 2021-04-15 (; similar; bibliography)
“Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models”, Bond- Et Al 2021
“Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models”, 2021-03-08 (; backlinks; similar)
“AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, Et Al 2021
“AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation”, 2021-02-24 (; similar)
“Improved Denoising Diffusion Probabilistic Models”, 2021
“Improved Denoising Diffusion Probabilistic Models”, 2021-02-18 (; similar; bibliography)
“The Role of AI Attribution Knowledge in the Evaluation of Artwork”, 2021
“The Role of AI Attribution Knowledge in the Evaluation of Artwork”, 2021-02-16 (similar)
“XMC-GAN: Cross-Modal Contrastive Learning for Text-to-Image Generation”, Et Al 2021
“XMC-GAN: Cross-Modal Contrastive Learning for Text-to-Image Generation”, 2021-01-12 (; similar; bibliography)
“Stylized-Colorization for Line Arts”, Et Al 2021
“Stylized-Colorization for Line Arts”, 2021-01-10 (; similar)
“VQ-GAN: Taming Transformers for High-Resolution Image Synthesis”, Et Al 2020
“VQ-GAN: Taming Transformers for High-Resolution Image Synthesis”, 2020-12-17 (; backlinks; similar)
“Taming Transformers for High-Resolution Image Synthesis”, Et Al 2020
“Taming Transformers for High-Resolution Image Synthesis”, 2020-12-17 (; backlinks; similar)
“LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”, 2020
“LDM: Automatic Colorization of Anime Style Illustrations Using a Two-Stage Generator”, 2020-12-04 (; similar)
“DStyle-GAN: Generative Adversarial Network Based on Writing and Photography Styles for Drug Identification in Darknet Markets”, Et Al 2020
“dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets”, 2020-12-01 (; similar)
“Image Generators With Conditionally-Independent Pixel Synthesis”, Et Al 2020
“Image Generators with Conditionally-Independent Pixel Synthesis”, 2020-11-27 (; backlinks; similar)
“Automatic Colorization of High-resolution Animation Style Line-art Based on Frequency Separation and Two-Stage Generator”, 2020b
“Automatic Colorization of High-resolution Animation Style Line-art based on Frequency Separation and Two-Stage Generator”, 2020-11-27 (; similar)
“RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, Et Al 2020
“RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer”, 2020-11-06 (; similar)
“Few-Shot Adaptation of Generative Adversarial Networks”, Et Al 2020
“Few-Shot Adaptation of Generative Adversarial Networks”, 2020-10-22 (; similar)
“HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, Et Al 2020
“HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis”, 2020-10-12 (; similar)
“A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, Et Al 2020
“A Good Image Generator Is What You Need for High-Resolution Video Synthesis”, 2020-09-28 (; similar)
“Why Spectral Normalization Stabilizes GANs: Analysis and Improvements”, Et Al 2020
“Why Spectral Normalization Stabilizes GANs: Analysis and Improvements”, 2020-09-06 (similar)
“Denoising Diffusion Probabilistic Models”, Et Al 2020
“Denoising Diffusion Probabilistic Models”, 2020-06-19 (; backlinks; similar)
“Improving GAN Training With Probability Ratio Clipping and Sample Reweighting”, Et Al 2020
“Improving GAN Training with Probability Ratio Clipping and Sample Reweighting”, 2020-06-12 (; backlinks; similar)
“Object Segmentation Without Labels With Large-Scale Generative Models”, Et Al 2020
“Object Segmentation Without Labels with Large-Scale Generative Models”, 2020-06-08 (; backlinks; similar)
“Learning to Simulate Dynamic Environments With GameGAN”, Et Al 2020
“Learning to Simulate Dynamic Environments with GameGAN”, 2020-05-25 (; similar)
“Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence”, Et Al 2020
“Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence”, 2020-05-11 (; similar)
“Learning to Simulate Dynamic Environments With GameGAN [homepage]”, Et Al 2020
“Learning to Simulate Dynamic Environments with GameGAN [homepage]”, 2020-05 (; similar)
“MakeItTalk: Speaker-Aware Talking-Head Animation”, Et Al 2020
“MakeItTalk: Speaker-Aware Talking-Head Animation”, 2020-04-27 (; similar)
“Avatar Artist Using GAN [CS230]”, 2020
“Avatar Artist Using GAN [CS230]”, 2020-04-12 (; similar)
“PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models”, Et Al 2020
“PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models”, 2020-03-08 (backlinks; similar)
“Do We Need Zero Training Loss After Achieving Zero Training Error?”, Et Al 2020
“Do We Need Zero Training Loss After Achieving Zero Training Error?”, 2020-02-20 (; backlinks; similar)
“E621 Face Dataset”, 2020
“E621 Face Dataset”, 2020-02-18 (; backlinks; bibliography)
“Smooth Markets: A Basic Mechanism for Organizing Gradient-based Learners”, Et Al 2020
“Smooth markets: A basic mechanism for organizing gradient-based learners”, 2020-01-14 (; similar)
“StarGAN Based Facial Expression Transfer for Anime Characters”, 2020
“StarGAN Based Facial Expression Transfer for Anime Characters”, 2020-01-02 (; similar)
“Generating Furry Face Art from Sketches Using a GAN”, 2019
“Generating Furry Face Art from Sketches using a GAN”, 2019-12-01 (; similar)
“Interactive Anime Sketch Colorization With Style Consistency via a Deep Residual Neural Network”, Et Al 2019
“Interactive Anime Sketch Colorization with Style Consistency via a Deep Residual Neural Network”, 2019-11-21 (; similar)
“Small-GAN: Speeding Up GAN Training Using Core-sets”, Et Al 2019
“Small-GAN: Speeding Up GAN Training Using Core-sets”, 2019-10-29 (; backlinks; similar)
“Parallel WaveGAN: A Fast Waveform Generation Model Based on Generative Adversarial Networks With Multi-resolution Spectrogram”, Et Al 2019
“Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram”, 2019-10-25 (; similar)
“Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”, Et Al 2019
“Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss”, 2019-08-16 (; backlinks; similar)
“Anime Sketch Coloring With Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”, Et Al 2019
“Anime Sketch Coloring with Swish-gated Residual U-net and Spectrally Normalized GAN (SSN-GAN)”, 2019-08-12 (; similar)
“The Generative Adversarial Brain”, 2019
“The Generative Adversarial Brain”, 2019-07-21 (; similar)
“Adversarial Examples Are Not Bugs, They Are Features”, Et Al 2019
“Adversarial Examples Are Not Bugs, They Are Features”, 2019-05-06 (; backlinks; similar)
“Few-Shot Unsupervised Image-to-Image Translation”, Et Al 2019
“Few-Shot Unsupervised Image-to-Image Translation”, 2019-05-05 (backlinks; similar)
“Compressing GANs Using Knowledge Distillation”, Et Al 2019
“Compressing GANs using Knowledge Distillation”, 2019-02-01 (; similar)
“How AI Training Scales”, Et Al 2018
“How AI Training Scales”, 2018-12-14 (; backlinks; similar; bibliography)
“InGAN: Capturing and Remapping The”DNA” of a Natural Image”, Et Al 2018
“InGAN: Capturing and Remapping the "DNA" of a Natural Image”, 2018-12-01 (backlinks; similar)
“GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint”, 2018
“GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint”, 2018-11-18 (backlinks; similar)
“Language GANs Falling Short”, Et Al 2018
“Language GANs Falling Short”, 2018-11-06 (backlinks; similar; bibliography)
“Twin-GAN—Unpaired Cross-Domain Image Translation With Weight-Sharing GANs”, 2018
“Twin-GAN—Unpaired Cross-Domain Image Translation with Weight-Sharing GANs”, 2018-08-26 (; backlinks; similar)
“IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis”, Et Al 2018
“IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis”, 2018-07-17 (; backlinks; similar)
“Sem-GAN: Semantically-Consistent Image-to-Image Translation”, 2018
“Sem-GAN: Semantically-Consistent Image-to-Image Translation”, 2018-07-12 (backlinks; similar)
“The Relativistic Discriminator: a Key Element Missing from Standard GAN”, Jolicoeur-2018
“The relativistic discriminator: a key element missing from standard GAN”, 2018-07-02 (backlinks; similar)
“Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Et Al 2018
“Synthesizing Programs for Images using Reinforced Adversarial Learning”, 2018-04-03 (; similar; bibliography)
“A Variational Inequality Perspective on Generative Adversarial Networks”, Et Al 2018
“A Variational Inequality Perspective on Generative Adversarial Networks”, 2018-02-28 (backlinks; similar)
“Spectral Normalization for Generative Adversarial Networks”, Et Al 2018
“Spectral Normalization for Generative Adversarial Networks”, 2018-02-16 (backlinks; similar)
“Unsupervised Cipher Cracking Using Discrete GANs”, Et Al 2018
“Unsupervised Cipher Cracking Using Discrete GANs”, 2018-01-15 (; similar)
“Two-stage Sketch Colorization”, Et Al 2018
“Two-stage Sketch Colorization”, 2018 (; backlinks; similar)
“CycleGAN, a Master of Steganography”, Et Al 2017
“CycleGAN, a Master of Steganography”, 2017-12-08 (; backlinks; similar)
“Multi-Content GAN for Few-Shot Font Style Transfer”, Et Al 2017
“Multi-Content GAN for Few-Shot Font Style Transfer”, 2017-12-01 (; similar)
“High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs”, Et Al 2017
“High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs”, 2017-11-30 (similar)
“AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks”, Et Al 2017
“AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks”, 2017-11-28 (similar)
“Are GANs Created Equal? A Large-Scale Study”, Et Al 2017
“Are GANs Created Equal? A Large-Scale Study”, 2017-11-28 (; similar)
“StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation”, Et Al 2017
“StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation”, 2017-11-24 (backlinks; similar)
“Style Transfer in Text: Exploration and Evaluation”, Et Al 2017
“Style Transfer in Text: Exploration and Evaluation”, 2017-11-18 (; similar)
“XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings”, Et Al 2017
“XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings”, 2017-11-14 (; similar)
“Mixed Precision Training”, Et Al 2017
“Mixed Precision Training”, 2017-10-10 (; similar)
“Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, Et Al 2017
“Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping”, 2017-09-22 (; similar)
“OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning”, Et Al 2017
“OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning”, 2017-09-20 (; backlinks; similar)
“Training Shallow and Thin Networks for Acceleration via Knowledge Distillation With Conditional Adversarial Networks”, Et Al 2017
“Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks”, 2017-09-02 (; similar)
“PassGAN: A Deep Learning Approach for Password Guessing”, Et Al 2017
“PassGAN: A Deep Learning Approach for Password Guessing”, 2017-09-01 (similar)
“Learning Universal Adversarial Perturbations With Generative Models”, 2017
“Learning Universal Adversarial Perturbations with Generative Models”, 2017-08-17 (; similar)
“Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, Et Al 2017
“Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration”, 2017-07-10 (; similar)
“Semi-Supervised Haptic Material Recognition for Robots Using Generative Adversarial Networks”, Et Al 2017
“Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks”, 2017-07-10 (; similar)
“CAN: Creative Adversarial Networks, Generating”Art” by Learning About Styles and Deviating from Style Norms”, Et Al 2017
“CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms”, 2017-06-21 (; backlinks; similar)
“Language Generation With Recurrent Generative Adversarial Networks without Pre-training”, Et Al 2017
“Language Generation with Recurrent Generative Adversarial Networks without Pre-training”, 2017-06-05 (; backlinks; similar)
“Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, Et Al 2017
“Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models”, 2017-05-30 (; backlinks; similar)
“Stabilizing Training of Generative Adversarial Networks through Regularization”, Et Al 2017
“Stabilizing Training of Generative Adversarial Networks through Regularization”, 2017-05-25 (backlinks; similar)
“Accelerating Science With Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters”, Et Al 2017
“Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters”, 2017-05-05 (; similar)
“Outline Colorization through Tandem Adversarial Networks”, 2017
“Outline Colorization through Tandem Adversarial Networks”, 2017-04-28 (backlinks; similar)
“Adversarial Neural Machine Translation”, Et Al 2017
“Adversarial Neural Machine Translation”, 2017-04-20 (; backlinks; similar)
“Improved Training of Wasserstein GANs”, Et Al 2017
“Improved Training of Wasserstein GANs”, 2017-03-31 (backlinks; similar)
“CycleGAN: Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks”, Et Al 2017
“CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”, 2017-03-30 (similar; bibliography)
“Mastering Sketching: Adversarial Augmentation for Structured Prediction”, Simo- Et Al 2017
“Mastering Sketching: Adversarial Augmentation for Structured Prediction”, 2017-03-27 (backlinks; similar)
“I2T2I: Learning Text to Image Synthesis With Textual Data Augmentation”, Et Al 2017
“I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation”, 2017-03-20 (; backlinks; similar)
“Learning to Discover Cross-Domain Relations With Generative Adversarial Networks”, Et Al 2017
“Learning to Discover Cross-Domain Relations with Generative Adversarial Networks”, 2017-03-15 (backlinks; similar)
“Improving Neural Machine Translation With Conditional Sequence Generative Adversarial Nets”, Et Al 2017
“Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets”, 2017-03-15 (; backlinks; similar)
“ArtGAN: Artwork Synthesis With Conditional Categorical GANs”, Et Al 2017
“ArtGAN: Artwork Synthesis with Conditional Categorical GANs”, 2017-02-11 (similar)
“Wasserstein GAN”, Et Al 2017
“Wasserstein GAN”, 2017-01-26 (backlinks; similar)
“NIPS 2016 Tutorial: Generative Adversarial Networks”, 2016
“NIPS 2016 Tutorial: Generative Adversarial Networks”, 2016-12-31 (backlinks)
“Stacked Generative Adversarial Networks”, Et Al 2016
“Stacked Generative Adversarial Networks”, 2016-12-13 (similar)
“Generative Adversarial Parallelization”, Et Al 2016
“Generative Adversarial Parallelization”, 2016-12-13 (backlinks; similar)
“Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space”, Et Al 2016
“Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space”, 2016-11-30 (backlinks; similar)
“Pix2Pix: Image-to-Image Translation With Conditional Adversarial Networks”, Et Al 2016
“Pix2Pix: Image-to-Image Translation with Conditional Adversarial Networks”, 2016-11-21 (; similar)
“A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models”, Et Al 2016
“A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models”, 2016-11-11 (; backlinks; similar)
“Connecting Generative Adversarial Networks and Actor-Critic Methods”, 2016
“Connecting Generative Adversarial Networks and Actor-Critic Methods”, 2016-10-06 (; backlinks; similar)
“Neural Photo Editing With Introspective Adversarial Networks”, Et Al 2016
“Neural Photo Editing with Introspective Adversarial Networks”, 2016-09-22 (; backlinks; similar)
“Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network”, Et Al 2016
“Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network”, 2016-09-15 (similar)
“InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”, Et Al 2016
“InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets”, 2016-06-12 (similar)
“Improved Techniques for Training GANs”, Et Al 2016
“Improved Techniques for Training GANs”, 2016-06-10 (similar)
“Generative Adversarial Imitation Learning”, 2016
“Generative Adversarial Imitation Learning”, 2016-06-10 (; backlinks; similar)
“Adversarial Feature Learning”, Et Al 2016
“Adversarial Feature Learning”, 2016-05-31 (backlinks; similar)
“Generating Images With Recurrent Adversarial Networks”, Et Al 2016
“Generating images with recurrent adversarial networks”, 2016-02-16 (similar)
“Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks”, Et Al 2015
“Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks”, 2015-11-19 (backlinks; similar)
“Generative Adversarial Networks”, Et Al 2014
“Generative Adversarial Networks”, 2014-06-10 (backlinks; similar)
“Stochastic Weight Averaging and the Ornstein-Uhlenbeck Process”
“IntroVAE: A PyTorch Implementation of Paper”IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis” ”
“Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks”
“Learning to Write Programs That Generate Images”
“Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow [homepage]”
Miscellaneous
Link Bibliography
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https://arxiv.org/abs/2210.13438#facebook: “High Fidelity Neural Audio Compression”, Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi: -
2022-sankalpa.pdf: “Using Generative Adversarial Networks for Conditional Creation of Anime Posters”, Donthi Sankalpa, Jayroop Ramesh, Imran Zualkernan: -
https://arxiv.org/abs/2204.03638#facebook: “TATS: Long Video Generation With Time-Agnostic VQGAN and Time-Sensitive Transformer”, Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh: -
https://arxiv.org/abs/2110.04627#google: “Vector-quantized Image Modeling With Improved VQGAN”, : -
https://arxiv.org/abs/2111.01007: “Projected GANs Converge Faster”, Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger: -
https://arxiv.org/abs/2107.07397: “Level Generation and Style Enhancement—deep Learning for Game Development Overview”, Piotr Migdał, Bartłomiej Olechno, Błażej Podgórski: -
https://arxiv.org/abs/2107.04589: “ViTGAN: Training GANs With Vision Transformers”, Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu, Ce Liu: -
https://arxiv.org/abs/2106.07631#google: “HiT: Improved Transformer for High-Resolution GANs”, Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang: -
https://arxiv.org/abs/2104.07636#google: “Image Super-Resolution via Iterative Refinement”, Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi: -
https://arxiv.org/abs/2102.09672#openai: “Improved Denoising Diffusion Probabilistic Models”, Alex Nichol, Prafulla Dhariwal: -
https://arxiv.org/abs/2101.04702#google: “XMC-GAN: Cross-Modal Contrastive Learning for Text-to-Image Generation”, Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang: -
https://github.com/arfafax/E621-Face-Dataset: “E621 Face Dataset”, Arfafax: -
https://openai.com/blog/science-of-ai/: “How AI Training Scales”, Sam McCandlish, Jared Kaplan, Dario Amodei: -
https://arxiv.org/abs/1811.02549: “Language GANs Falling Short”, Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin: -
https://arxiv.org/abs/1804.01118#deepmind: “Synthesizing Programs for Images Using Reinforced Adversarial Learning”, Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, S. M. Ali Eslami, Oriol Vinyals: -
https://arxiv.org/abs/1703.10593#bair: “CycleGAN: Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks”, Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros: