Generative adversarial networks

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title: 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 ↗)