generative-adversarial-networks.md

title
Generative adversarial networks

Generative adversarial networks

Links

• Introduction to GANs, NIPS 2016 | Ian Goodfellow
• Generative Adversarial Networks (2014) - Framework for estimating generative models via an adversarial process. (Code)
• PyTorch implementation of various GANs
• So I Created A Fursona Generator... (2019)
• pix2pixHD - PyTorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation.
• VeGANs - Library to easily train various existing GANs (Generative Adversarial Networks) in PyTorch.
• Compare GAN code - Offers TensorFlow implementations for many components related to Generative Adversarial Networks.
• PyTorch pretrained BigGAN
• StyleGAN2 in TensorFlow
• StyleGAN 2 in PyTorch
• Progressive Growing of GANs for Improved Quality, Stability, and Variation
• CTGAN - Implementation of our NeurIPS paper Modeling Tabular data using Conditional GAN.
• Awesome GANs with TensorFlow
• How to make a pizza: Learning a compositional layer-based GAN model (2019)
• GANSpace: Discovering Interpretable GAN Controls
• Time-series Generative Adversarial Networks
• TwinGAN - Unsupervised Image Translation for Human Portraits.
• Wasserstein GAN (WGAN) with Gradient Penalty (GP)
• Artbreeder - Extend Your Imagination with GANs. (HN)
• Generative Image Inpainting - DeepFill v1/v2 with Contextual Attention and Gated Convolution.
• BicycleGAN - PyTorch implementation for multimodal image-to-image translation.
• Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
• Towards Photo-Realistic Virtual Try-On by Adaptively Generating ↔ Preserving Image Content
• Rethinking the Truly Unsupervised Image-to-Image Translation
• StyleGAN2-Face-Modificator - Simple Encoder, Generator and Face Modificator with StyleGAN2.
• Face-Depixelizer - Based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models".
• Denoising Diffusion Probabilistic Models
• Generative Adversarial Imitation Learning
• High-Fidelity Generative Image Compression (HN)
• Photoreal Roman Emperor Project. 54 Machine-learning assisted portraits (2020)
• Using machine learning to recreate photorealistic portraits of Roman Emperors (HN)
• AnimeGANv2 - Improved version of AnimeGAN.
• TecoGAN - TEmporally COherent GAN for video super-resolution. (Video)
• Playing a game of GANstruction (2020)
• Score matching with Langevin Sampling: a new contender to GANs (2020) (HN)
• PyTorch GANs - Contains PyTorch implementation of various GAN architectures.
• ExGAN: Adversarial Generation of Extreme Samples (2020)
• Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
• StyleGAN2 with adaptive discriminator augmentation (ADA) in TensorFlow
• Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models (2020)
• Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) (2017)
• AdaBelief Optimizer - NeurIPS 2020 Spotlight, trains fast as Adam, generalizes well as SGD, and is stable to train GANs.
• From GAN to WGAN (2020)
• In-Domain GAN Inversion for Real Image Editing (Code)
• Rewriting a Deep Generative Model
• GANDissect - PyTorch-based tools for visualizing and understanding the neurons of a GAN.
• GANksy - A.I. street artist.
• GAN-Supported Concept Art Workflows (2020)
• Understanding GAN Loss Functions (2020)
• PyTorch implementation of Spectral Normalization for Generative Adversarial Networks
• Awesome GAN Inversion papers
• Generate High Resolution Images With Generative Variational Autoencoder
• Simple StyleGan2 for PyTorch
• StackGAN-v2 - PyTorch implementation.
• Self-Attention-GAN TensorFlow
• Self-Attention GAN PyTorch
• StudioGAN - StudioGAN is a PyTorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation. (Reddit)
• Implementation of an extremely 'lightweight' GAN proposed in ICLR 2021, in PyTorch
• Instance Selection for GANs
• StyleGAN2 with adaptive discriminator augmentation (ADA) in TensorFlow
• GANs with Keras and TensorFlow (2020)
• RCF-GAN - Implementation of RCF-GAN proposed in the paper "Reciprocal Adversarial Learning via Characteristic Functions".
• Using GANs to Create Fantastical Creatures (2020) (HN)
• This X Does Not Exist - Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything. (HN)
• Style-based GANs – Generating and Tuning Realistic Artificial Faces (2018)
• Navigating the GAN Parameter Space for Semantic Image Editing
• Data-Efficient GANs with DiffAugment
• Adversarial Generation of Continuous Images (2020) (Code)
• Unsupervised image-to-image translation method via pre-trained StyleGAN2 network
• Experiments with StyleGAN2
• Awesome Pretrained StyleGAN2
• Training Generative Adversarial Networks by Solving Ordinary Differential Equations (2020) (Code)
• gan-mosaics - Models were trained using a Stylegan2-Ada model.
• DAGs with no tears: Continuous Optimization for Structure Learning (2018) (Code)
• StyleFlow | StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (2020) (Code)
• Audio inpainting with generative adversarial network
• Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks (2018) (Code)
• StyleGAN2 Distillation for Feed-forward Image Manipulation
• A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications (2020)
• Adversarial Grammatical Error Correction (2020)
• You Only Need Adversarial Supervision for Semantic Image Synthesis (2020) (Code)
• GAN Inversion: A Survey (2021) - GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generator.
• KernelGAN - Blind Super-Resolution Kernel Estimation using an Internal-GAN.
• Mimicry - Lightweight PyTorch library aimed towards the reproducibility of GAN research.
• Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (2017) (Code)
• Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains
• Scaling up StyleGAN2 - Achieving photorealistic quality by scaling up StyleGAN2.
• StyleGAN2-Surgery - StyleGAN2 fork with scripts and convenience modifications for creative media synthesis.
• Practical aspects of StyleGAN2 training
• Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis (Code)
• Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
• CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (2021) (Code)
• TransGAN: Two Transformers Can Make One Strong GAN (2021) (Code)
• Growing generative adversarial networks, layer by layer (2021)
• GANsformer: Generative Adversarial Transformers (Paper)
• Anycost GANs for Interactive Image Synthesis and Editing
• State-of-the-Art Image Generative Models (2021) (HN)
• GANs for tabular data
• Adversarial score matching and improved sampling for image generation
• ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement (2021) (Code)
• WaveGAN - Learn to synthesize raw audio with generative adversarial networks.
• InfinityGAN: Towards Infinite-Resolution Image Synthesis (2021) (Code)
• Assessing Generative Models via Precision and Recall (2018) (Code)
• Few-shot Image Generation via Cross-domain Correspondence (2021) (Code)
• StarGAN v2: Diverse Image Synthesis for Multiple Domains (2020) (Code)
• StarGAN2 for practice - Version of StarGAN2 intended mostly for fellow artists.
• Generative Adversarial Network in Go via Gorgonia
• Controllable Person Image Synthesis with Attribute-Decomposed GAN (2020) (Code)
• DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort (2021)
• On the use of Benford's law to detect GAN-generated images (2020)
• Generative Models as Distributions of Functions (2021) (Code)
• GAN_Metrics-Tensorflow - Simple Tensorflow implementation of metrics for GAN evaluation.
• Controllable Text-to-Image Generation (2019) (Code)
• How can generative adversarial networks learn real-life distributions easily (2021)
• GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings (2021) (Code)
• GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!) (Code)
• Denoising Diffusion Probabilistic Models (2020) (Code)
• Barbershop: GAN-based Image Compositing using Segmentation Masks (2021) (Code)
• Alias-Free GAN (HN) (Code)
• Training Generative Adversarial Networks in One Stage (2021) (Code)
• Zero-Shot non-adversarial domain adaptation of pre-trained generators (Web)
• pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis (2021) (Code)
• Diffusion Models Beat GANs on Image Synthesis (2021) (Code)
• Realless - Ways To Use Generative Adversarial Networks In Art.
• LARGE: Latent-Based Regression through GAN Semantics (2021) (Code)
• Introduction to Deep Generative Modeling: Examples (Web)
• Awesome GANs
• GAN Awesome Applications
• Unrolled Generative Adversarial Networks (Code)
• Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
• GAN Prior Embedded Network for Blind Face Restoration in the Wild
• Instance-Conditioned GAN (2021) (Code)
• PyTorch Pretrained GANs - StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more.
• Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (2016) (Code)
• Alias-Free Generative Adversarial Networks (StyleGAN3) (Code) (HN) (Code)
• StyleGAN3-Fun - SOTA GANs are hard to train and to explore, and StyleGAN2/ADA/3 are no different.
• Taming Visually Guided Sound Generation (2021) (Code)
• TecoGAN-PyTorch - PyTorch Reimplementation of TecoGAN: Temporally Coherent GAN for Video Super-Resolution.
• Chunked Autoregressive GAN (CARGAN)
• CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis (2021) (Code)
• GAN-Inversion Papers
• Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks (2020) (Code)
• Omni-GAN: On the Secrets of cGANs and Beyond (2021) (Code)
• Helena Sarin: Why Bigger Isn’t Always Better With GANs And AI Art (2018)
• MMGeneration - Powerful toolkit for generative models, based on PyTorch and MMCV.
• Projected GANs Converge Faster (2021) (Code)
• A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis (2021) (Code)
• DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis (2021) (Code)
• GANformer: Generative Adversarial Transformers
• ProteinGAN - Generative network architecture that may be used to produce de-novo protein sequences.
• PaddleGAN - High-performance implementation of classic and SOTA Generative Adversarial Networks.
• SofGAN: A Portrait Image Generator with Dynamic Styling (2021) (Code)
• BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation (2021) (Code)
• Adversarial Generation of Continuous Implicit Shape Representations (2020) (Code)
• HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing (2021) (Code) (Web) (HN)
• Audiovisual interpolations with GANs
• GAN-Supervised Dense Visual Alignment (2021) (Code)
• ArcaneGAN (Web)
• Tackling the Generative Learning Trilemma with Denoising Diffusion GANs (2021) (Code)
• Ensembling Off-the-shelf Models for GAN Training (2021) (Code)
• Generative Adversarial Networks 101
• StyleGAN2-ADA: Training Generative Adversarial Networks with Limited Data (2020) (Code)
• EG3D: Efficient Geometry-aware 3D GANs (2021) (Code)
• JoJoGAN: One Shot Face Stylization
• VolumeGAN - 3D-aware Image Synthesis via Learning Structural and Textural Representations (2021) (Code)
• GenForce: Research Initiative on Generative Modeling (GitHub)
• Sketch Your Own GAN (2021) (Code)
• StyleGAN2-ada for practice
• StyleGAN3 CLIP-based guidance
• CA-GAN: Composition-Aided GANs (2020) (Code)
• SinGAN: Learning a Generative Model from a Single Natural Image (2019) (Code)
• Labels4Free: Unsupervised Segmentation using StyleGAN (2021) (Code)
• Alias-Free Generative Adversarial Networks (2021) (Code)
• SberSwap
• Explaining in Style: Training a GAN to explain a classifier in StyleSpace (2021) (Code)
• Scaling StyleGAN to Large Diverse Datasets (Code)
• Fast and accurate learned multiresolution dynamical downscaling for precipitation (2021) (Code)
• Upscale an image by a factor of 4, while generating photo-realistic details
• GAN Ensembling - Invert and perturb GAN images for test-time ensembling.
• EditGAN: High-Precision Semantic Image Editing (2021) (Code)
• Third Time's the Charm? Image and Video Editing with StyleGAN3 (2022) (Code)
• Fast AdvProp (2022) (Code)
• Lifespan Age Transformation Synthesis (2020) (Code)
• DualStyleGAN - Official PyTorch Implementation
• On Aliased Resizing and Surprising Subtleties in GAN Evaluation (2022) (Code)
• High-fidelity GAN Inversion with Padding Space (2022) (Code)
• High-Fidelity GAN Inversion for Image Attribute Editing (2022) (Code)
• Neural Neighbor Style Transfer
• CLIPstyler: Image Style Transfer with a Single Text Condition (2021) (Code)
• AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
• DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis (2019) (Code)
• StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN (2022) (Code)
• DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2022)
• Style Transformer for Image Inversion and Editing (2022) (Code)
• This Repository Does Not Exist - Curated list of awesome projects which use Machine Learning to generate synthetic content.
• Stitch it in Time: GAN-Based Facial Editing of Real Videos (2022) (Code)
• Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data (2022) (Code)
• Any-resolution Training for High-resolution Image Synthesis (2022) (Code)
• Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (2020) (Code)
• Diffusion Autoencoders: Toward a Meaningful and Decodable Representation (2022) (Code)
• StyleGAN-Human: A Data-Centric Odyssey of Human Generation
• Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks (2022) (Code)
• In&Out : Diverse Image Outpainting via GAN Inversion (2021) (Code)
• StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2 (2022) (Code)
• Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing (2022) (Code)
• Parallel WaveGAN implementation with PyTorch
• Rethinking training of 3D GANs (Code)
• BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations (2022) (Code)
• The ArtBench Dataset: Benchmarking Generative Models with Artworks (2022) (Code)
• NeRF: An Eventual Successor for Deepfakes? (HN)
• BlobGAN: Spatially Disentangled Scene Representations (2022) (Code)
• BigVGAN: A Universal Neural Vocoder with Large-Scale Training (2022) (Code)
• Training StyleGAN2 on TPUs in JAX
• LoopGAN - StyleGAN2 + MelGAN Audio Loop Generation.
• CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions (2021) (Code)
• WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (2022) (Code)
• House-GAN++: Generative Adversarial Layout Refinement Networks (2021) (Code)
• CMGAN: Conformer-based Metric GAN for Speech Enhancement (2022) (Code)
• Generating Long Videos of Dynamic Scenes (2022) (Code)
• text2StyleGAN - Natural language interface that adapts pre-trained GANs for text-guided human face synthesis.
• Conditional GANs with Auxiliary Discriminative Classifier (2022) (Code)
• Improving GAN Equilibrium by Raising Spatial Awareness (2022) (Code)
• ReSeFa: Region-Based Semantic Factorization in GANs (2022) (Code)