GAN动物园

每周都有新的 GAN 论文发表，要跟踪所有这些论文实属不易，更不用说研究者们为这些 GAN 起的那些极具创意的名字了！因此，这里列出了一份最初作为一项趣味活动整理的所有已命名 GAN 的清单！

你也可以查看以表格形式呈现的相同数据，并支持按年份筛选或按标题快速搜索 在此处。

欢迎贡献！请通过 pull request 向 gans.tsv 文件添加链接，格式与现有内容一致；或者创建一个 issue，告诉我有哪些遗漏，或是发起讨论。

不妨看看 Deep Hunt——我的每周 AI 简报，关于这个仓库的 博客文章，并关注我在 Twitter 上的账号。

• 3D-ED-GAN - Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks
• 3D-GAN - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling (github)
• 3D-IWGAN - Improved Adversarial Systems for 3D Object Generation and Reconstruction (github)
• 3D-PhysNet - 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations
• 3D-RecGAN - 3D Object Reconstruction from a Single Depth View with Adversarial Learning (github)
• ABC-GAN - ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks (github)
• ABC-GAN - GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference
• AC-GAN - Conditional Image Synthesis With Auxiliary Classifier GANs
• acGAN - Face Aging With Conditional Generative Adversarial Networks
• ACGAN - Coverless Information Hiding Based on Generative adversarial networks
• acGAN - On-line Adaptative Curriculum Learning for GANs
• ACtuAL - ACtuAL: Actor-Critic Under Adversarial Learning
• AdaGAN - AdaGAN: Boosting Generative Models
• Adaptive GAN - Customizing an Adversarial Example Generator with Class-Conditional GANs
• AdvEntuRe - AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
• AdvGAN - Generating adversarial examples with adversarial networks
• AE-GAN - AE-GAN: adversarial eliminating with GAN
• AE-OT - Latent Space Optimal Transport for Generative Models
• AEGAN - Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets
• AF-DCGAN - AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System
• AffGAN - Amortised MAP Inference for Image Super-resolution
• AIM - Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
• AL-CGAN - Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts
• ALI - Adversarially Learned Inference (github)
• AlignGAN - AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks
• AlphaGAN - AlphaGAN: Generative adversarial networks for natural image matting
• AM-GAN - Activation Maximization Generative Adversarial Nets
• AmbientGAN - AmbientGAN: Generative models from lossy measurements (github)
• AMC-GAN - Video Prediction with Appearance and Motion Conditions
• AnoGAN - Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
• APD - Adversarial Distillation of Bayesian Neural Network Posteriors
• APE-GAN - APE-GAN: Adversarial Perturbation Elimination with GAN
• ARAE - Adversarially Regularized Autoencoders for Generating Discrete Structures (github)
• ARDA - Adversarial Representation Learning for Domain Adaptation
• ARIGAN - ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
• ArtGAN - ArtGAN: Artwork Synthesis with Conditional Categorial GANs
• ASDL-GAN - Automatic Steganographic Distortion Learning Using a Generative Adversarial Network
• ATA-GAN - Attention-Aware Generative Adversarial Networks (ATA-GANs)
• Attention-GAN - Attention-GAN for Object Transfiguration in Wild Images
• AttGAN - Arbitrary Facial Attribute Editing: Only Change What You Want (github)
• AttnGAN - AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks (github)
• AVID - AVID: Adversarial Visual Irregularity Detection
• B-DCGAN - B-DCGAN:Evaluation of Binarized DCGAN for FPGA
• b-GAN - Generative Adversarial Nets from a Density Ratio Estimation Perspective
• BAGAN - BAGAN: Data Augmentation with Balancing GAN
• Bayesian GAN - Deep and Hierarchical Implicit Models
• Bayesian GAN - Bayesian GAN (github)
• BCGAN - Bayesian Conditional Generative Adverserial Networks
• BCGAN - Bidirectional Conditional Generative Adversarial networks
• BEAM - Boltzmann Encoded Adversarial Machines
• BEGAN - BEGAN: Boundary Equilibrium Generative Adversarial Networks
• BEGAN-CS - Escaping from Collapsing Modes in a Constrained Space
• Bellman GAN - Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN
• BGAN - Binary Generative Adversarial Networks for Image Retrieval (github)
• Bi-GAN - Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm
• BicycleGAN - Toward Multimodal Image-to-Image Translation (github)
• BiGAN - Adversarial Feature Learning
• BinGAN - BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
• BourGAN - BourGAN: Generative Networks with Metric Embeddings
• BranchGAN - Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning
• BRE - Improving GAN Training via Binarized Representation Entropy (BRE) Regularization (github)
• BridgeGAN - Generative Adversarial Frontal View to Bird View Synthesis
• BS-GAN - Boundary-Seeking Generative Adversarial Networks
• BubGAN - BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images
• BWGAN - Banach Wasserstein GAN
• C-GAN - Face Aging with Contextual Generative Adversarial Nets
• C-RNN-GAN - C-RNN-GAN: Continuous recurrent neural networks with adversarial training (github)
• CA-GAN - Composition-aided Sketch-realistic Portrait Generation
• CaloGAN - CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks (github)
• CAN - CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms
• CapsGAN - CapsGAN: Using Dynamic Routing for Generative Adversarial Networks
• CapsuleGAN - CapsuleGAN: Generative Adversarial Capsule Network
• CatGAN - Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
• CatGAN - CatGAN: Coupled Adversarial Transfer for Domain Generation
• CausalGAN - CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
• CC-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks (github)
• cd-GAN - Conditional Image-to-Image Translation
• CDcGAN - Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network
• CE-GAN - Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network
• CFG-GAN - Composite Functional Gradient Learning of Generative Adversarial Models
• CGAN - Conditional Generative Adversarial Nets
• CGAN - Controllable Generative Adversarial Network
• Chekhov GAN - An Online Learning Approach to Generative Adversarial Networks
• ciGAN - Conditional Infilling GANs for Data Augmentation in Mammogram Classification
• CinCGAN - Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
• CipherGAN - Unsupervised Cipher Cracking Using Discrete GANs
• ClusterGAN - ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
• CM-GAN - CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
• CoAtt-GAN - Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
• CoGAN - Coupled Generative Adversarial Networks
• ComboGAN - ComboGAN: Unrestrained Scalability for Image Domain Translation (github)
• ConceptGAN - Learning Compositional Visual Concepts with Mutual Consistency
• Conditional cycleGAN - Conditional CycleGAN for Attribute Guided Face Image Generation
• constrast-GAN - Generative Semantic Manipulation with Contrasting GAN
• Context-RNN-GAN - Contextual RNN-GANs for Abstract Reasoning Diagram Generation
• CorrGAN - Correlated discrete data generation using adversarial training
• Coulomb GAN - Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
• Cover-GAN - Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks
• cowboy - Defending Against Adversarial Attacks by Leveraging an Entire GAN
• CR-GAN - CR-GAN: Learning Complete Representations for Multi-view Generation
• Cramèr GAN - The Cramer Distance as a Solution to Biased Wasserstein Gradients
• Cross-GAN - Crossing Generative Adversarial Networks for Cross-View Person Re-identification
• crVAE-GAN - Channel-Recurrent Variational Autoencoders
• CS-GAN - Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
• CSG - Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks
• CT-GAN - CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification
• CVAE-GAN - CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training
• CycleGAN - Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (github)
• D-GAN - Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
• D-WCGAN - I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification
• D2GAN - Dual Discriminator Generative Adversarial Nets
• D2IA-GAN - Tagging like Humans: Diverse and Distinct Image Annotation
• DA-GAN - DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)
• DADA - DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
• DAGAN - Data Augmentation Generative Adversarial Networks
• DAN - Distributional Adversarial Networks
• DBLRGAN - Adversarial Spatio-Temporal Learning for Video Deblurring
• DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks (github)
• DE-GAN - Generative Adversarial Networks with Decoder-Encoder Output Noise
• DeblurGAN - DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks (github)
• DeepFD - Learning to Detect Fake Face Images in the Wild
• Defense-GAN - Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (github)
• Defo-Net - Defo-Net: Learning Body Deformation using Generative Adversarial Networks
• DeliGAN - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data (github)
• DF-GAN - Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions
• DialogWAE - DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
• DiscoGAN - Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
• DistanceGAN - One-Sided Unsupervised Domain Mapping
• DM-GAN - Dual Motion GAN for Future-Flow Embedded Video Prediction
• DMGAN - Disconnected Manifold Learning for Generative Adversarial Networks
• DNA-GAN - DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
• DOPING - DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
• dp-GAN - Differentially Private Releasing via Deep Generative Model
• DP-GAN - DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text
• DPGAN - Differentially Private Generative Adversarial Network
• DR-GAN - Representation Learning by Rotating Your Faces
• DRAGAN - How to Train Your DRAGAN (github)
• Dropout-GAN - Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators
• DRPAN - Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
• DSH-GAN - Deep Semantic Hashing with Generative Adversarial Networks
• DSP-GAN - Depth Structure Preserving Scene Image Generation
• DTLC-GAN - Generative Adversarial Image Synthesis with Decision Tree Latent Controller
• DTN - Unsupervised Cross-Domain Image Generation
• DTR-GAN - DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization
• DualGAN - DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
• Dualing GAN - Dualing GANs
• DVGAN - Human Motion Modeling using DVGANs
• Dynamics Transfer GAN - Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image
• E-GAN - Evolutionary Generative Adversarial Networks
• EAR - Generative Model for Heterogeneous Inference
• EBGAN - Energy-based Generative Adversarial Network
• ecGAN - eCommerceGAN : A Generative Adversarial Network for E-commerce
• ED//GAN - Stabilizing Training of Generative Adversarial Networks through Regularization
• Editable GAN - Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
• EGAN - Enhanced Experience Replay Generation for Efficient Reinforcement Learning
• EL-GAN - EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection
• ELEGANT - ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
• EnergyWGAN - Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation
• ESRGAN - ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
• ExGAN - Eye In-Painting with Exemplar Generative Adversarial Networks
• ExposureGAN - Exposure: A White-Box Photo Post-Processing Framework (github)
• ExprGAN - ExprGAN: Facial Expression Editing with Controllable Expression Intensity
• f-CLSWGAN - Feature Generating Networks for Zero-Shot Learning
• f-GAN - f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
• FairGAN - FairGAN: Fairness-aware Generative Adversarial Networks
• Fairness GAN - Fairness GAN
• FakeGAN - Detecting Deceptive Reviews using Generative Adversarial Networks
• FBGAN - Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions
• FBGAN - Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference
• FC-GAN - Fast-converging Conditional Generative Adversarial Networks for Image Synthesis
• FF-GAN - Towards Large-Pose Face Frontalization in the Wild
• FGGAN - Adversarial Learning for Fine-grained Image Search
• Fictitious GAN - Fictitious GAN: Training GANs with Historical Models
• FIGAN - Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
• Fila-GAN - Synthesizing Filamentary Structured Images with GANs
• First Order GAN - First Order Generative Adversarial Networks (github)
• Fisher GAN - Fisher GAN
• Flow-GAN - Flow-GAN: Bridging implicit and prescribed learning in generative models
• FrankenGAN - rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs
• FSEGAN - Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
• FTGAN - Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture
• FusedGAN - Semi-supervised FusedGAN for Conditional Image Generation
• FusionGAN - Learning to Fuse Music Genres with Generative Adversarial Dual Learning
• FusionGAN - Generating a Fusion Image: One's Identity and Another's Shape
• G2-GAN - Geometry Guided Adversarial Facial Expression Synthesis
• GAAN - Generative Adversarial Autoencoder Networks
• GAF - Generative Adversarial Forests for Better Conditioned Adversarial Learning
• GAGAN - GAGAN: Geometry-Aware Generative Adverserial Networks
• GAIA - Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions
• GAIN - GAIN: Missing Data Imputation using Generative Adversarial Nets
• GAMN - Generative Adversarial Mapping Networks
• GAN - Generative Adversarial Networks (github)
• GAN Lab - GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
• GAN Q-learning - GAN Q-learning
• GAN-AD - Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
• GAN-ATV - A Novel Approach to Artistic Textual Visualization via GAN
• GAN-CLS - Generative Adversarial Text to Image Synthesis (github)
• GAN-RS - Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks
• GAN-SD - Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
• GAN-sep - GANs for Biological Image Synthesis (github)
• GAN-VFS - Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces
• GAN-Word2Vec - Adversarial Training of Word2Vec for Basket Completion
• GANAX - GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
• GANCS - Deep Generative Adversarial Networks for Compressed Sensing Automates MRI
• GANDI - Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples
• GANG - GANGs: Generative Adversarial Network Games
• GANG - Beyond Local Nash Equilibria for Adversarial Networks
• GANosaic - GANosaic: Mosaic Creation with Generative Texture Manifolds
• GANVO - GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks
• GAP - Context-Aware Generative Adversarial Privacy
• GAP - Generative Adversarial Privacy
• GATS - Sample-Efficient Deep RL with Generative Adversarial Tree Search
• GAWWN - Learning What and Where to Draw (github)
• GC-GAN - Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis
• GcGAN - Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping
• GeneGAN - GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data (github)
• GeoGAN - Generating Instance Segmentation Annotation by Geometry-guided GAN
• Geometric GAN - Geometric GAN
• GIN - Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
• GLCA-GAN - Global and Local Consistent Age Generative Adversarial Networks
• GM-GAN - Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images
• GMAN - Generative Multi-Adversarial Networks
• GMM-GAN - Towards Understanding the Dynamics of Generative Adversarial Networks
• GoGAN - Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking
• GONet - GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
• GP-GAN - GP-GAN: Towards Realistic High-Resolution Image Blending (github)
• GP-GAN - GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
• GPU - A generative adversarial framework for positive-unlabeled classification
• GRAN - Generating images with recurrent adversarial networks (github)
• Graphical-GAN - Graphical Generative Adversarial Networks
• GraphSGAN - Semi-supervised Learning on Graphs with Generative Adversarial Nets
• GraspGAN - Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
• GT-GAN - Deep Graph Translation
• HAN - Chinese Typeface Transformation with Hierarchical Adversarial Network
• HAN - Bidirectional Learning for Robust Neural Networks
• HiGAN - Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks
• HP-GAN - HP-GAN: Probabilistic 3D human motion prediction via GAN
• HR-DCGAN - High-Resolution Deep Convolutional Generative Adversarial Networks
• hredGAN - Multi-turn Dialogue Response Generation in an Adversarial Learning framework
• IAN - Neural Photo Editing with Introspective Adversarial Networks (github)
• IcGAN - Invertible Conditional GANs for image editing (github)
• ID-CGAN - Image De-raining Using a Conditional Generative Adversarial Network
• IdCycleGAN - Face Translation between Images and Videos using Identity-aware CycleGAN
• IFcVAEGAN - Conditional Autoencoders with Adversarial Information Factorization
• iGAN - Generative Visual Manipulation on the Natural Image Manifold (github)
• IGMM-GAN - Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data
• Improved GAN - Improved Techniques for Training GANs (github)
• In2I - In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
• InfoGAN - InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (github)
• IntroVAE - IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis
• IR2VI - IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation
• IRGAN - IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models
• IRGAN - Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances
• ISGAN - Invisible Steganography via Generative Adversarial Network
• ISP-GPM - Inner Space Preserving Generative Pose Machine
• Iterative-GAN - Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs (github)
• IterGAN - IterGANs: Iterative GANs to Learn and Control 3D Object Transformation
• IVE-GAN - IVE-GAN: Invariant Encoding Generative Adversarial Networks
• iVGAN - Towards an Understanding of Our World by GANing Videos in the Wild (github)
• IWGAN - On Unifying Deep Generative Models
• JointGAN - JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
• JR-GAN - JR-GAN: Jacobian Regularization for Generative Adversarial Networks
• KBGAN - KBGAN: Adversarial Learning for Knowledge Graph Embeddings
• KGAN - KGAN: How to Break The Minimax Game in GAN
• l-GAN - Representation Learning and Adversarial Generation of 3D Point Clouds
• LAC-GAN - Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification
• LAGAN - Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
• LAPGAN - Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks (github)
• LB-GAN - Load Balanced GANs for Multi-view Face Image Synthesis
• LBT - Learning Implicit Generative Models by Teaching Explicit Ones
• LCC-GAN - Adversarial Learning with Local Coordinate Coding
• LD-GAN - Linear Discriminant Generative Adversarial Networks
• LDAN - Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
• LeakGAN - Long Text Generation via Adversarial Training with Leaked Information
• LeGAN - Likelihood Estimation for Generative Adversarial Networks
• LGAN - Global versus Localized Generative Adversarial Nets
• Lipizzaner - Towards Distributed Coevolutionary GANs
• LR-GAN - LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
• LS-GAN - Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
• LSGAN - Least Squares Generative Adversarial Networks
• M-AAE - Mask-aware Photorealistic Face Attribute Manipulation
• MAD-GAN - Multi-Agent Diverse Generative Adversarial Networks
• MAGAN - MAGAN: Margin Adaptation for Generative Adversarial Networks
• MAGAN - MAGAN: Aligning Biological Manifolds
• MalGAN - Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
• MaliGAN - Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
• manifold-WGAN - Manifold-valued Image Generation with Wasserstein Adversarial Networks
• MARTA-GAN - Deep Unsupervised Representation Learning for Remote Sensing Images
• MaskGAN - MaskGAN: Better Text Generation via Filling in the ______
• MC-GAN - Multi-Content GAN for Few-Shot Font Style Transfer (github)
• MC-GAN - MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
• McGAN - McGan: Mean and Covariance Feature Matching GAN
• MD-GAN - Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks
• MDGAN - Mode Regularized Generative Adversarial Networks
• MedGAN - Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks
• MedGAN - MedGAN: Medical Image Translation using GANs
• MEGAN - MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
• MelanoGAN - MelanoGANs: High Resolution Skin Lesion Synthesis with GANs
• memoryGAN - Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
• MeRGAN - Memory Replay GANs: learning to generate images from new categories without forgetting
• MGAN - Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks (github)
• MGGAN - Multi-Generator Generative Adversarial Nets
• MGGAN - MGGAN: Solving Mode Collapse using Manifold Guided Training
• MIL-GAN - Multimodal Storytelling via Generative Adversarial Imitation Learning
• MinLGAN - Anomaly Detection via Minimum Likelihood Generative Adversarial Networks
• MIX+GAN - Generalization and Equilibrium in Generative Adversarial Nets (GANs)
• MIXGAN - MIXGAN: Learning Concepts from Different Domains for Mixture Generation
• MLGAN - Metric Learning-based Generative Adversarial Network
• MMC-GAN - A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions
• MMD-GAN - MMD GAN: Towards Deeper Understanding of Moment Matching Network (github)
• MMGAN - MMGAN: Manifold Matching Generative Adversarial Network for Generating Images
• MoCoGAN - MoCoGAN: Decomposing Motion and Content for Video Generation (github)
• Modified GAN-CLS - Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm
• ModularGAN - Modular Generative Adversarial Networks
• MolGAN - MolGAN: An implicit generative model for small molecular graphs
• MPM-GAN - Message Passing Multi-Agent GANs
• MS-GAN - Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
• MTGAN - MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks
• MuseGAN - MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks
• MV-BiGAN - Multi-view Generative Adversarial Networks
• N2RPP - N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients
• NAN - Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
• NCE-GAN - Dihedral angle prediction using generative adversarial networks
• ND-GAN - Novelty Detection with GAN
• NetGAN - NetGAN: Generating Graphs via Random Walks
• OCAN - One-Class Adversarial Nets for Fraud Detection
• OptionGAN - OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning
• ORGAN - Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
• ORGAN - 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network
• OT-GAN - Improving GANs Using Optimal Transport
• PacGAN - PacGAN: The power of two samples in generative adversarial networks
• PAN - Perceptual Adversarial Networks for Image-to-Image Transformation
• PassGAN - PassGAN: A Deep Learning Approach for Password Guessing
• PD-WGAN - Primal-Dual Wasserstein GAN
• Perceptual GAN - Perceptual Generative Adversarial Networks for Small Object Detection
• PGAN - Probabilistic Generative Adversarial Networks
• PGD-GAN - Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees
• PGGAN - Patch-Based Image Inpainting with Generative Adversarial Networks
• PIONEER - Pioneer Networks: Progressively Growing Generative Autoencoder
• Pip-GAN - Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes
• pix2pix - Image-to-Image Translation with Conditional Adversarial Networks (github)
• pix2pixHD - High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs (github)
• PixelGAN - PixelGAN Autoencoders
• PM-GAN - PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
• PN-GAN - Pose-Normalized Image Generation for Person Re-identification
• POGAN - Perceptually Optimized Generative Adversarial Network for Single Image Dehazing
• Pose-GAN - The Pose Knows: Video Forecasting by Generating Pose Futures
• PP-GAN - Privacy-Protective-GAN for Face De-identification
• PPAN - Privacy-Preserving Adversarial Networks
• PPGN - Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
• PrGAN - 3D Shape Induction from 2D Views of Multiple Objects
• ProGanSR - A Fully Progressive Approach to Single-Image Super-Resolution
• Progressive GAN - Progressive Growing of GANs for Improved Quality, Stability, and Variation (github)
• PS-GAN - Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
• PSGAN - Learning Texture Manifolds with the Periodic Spatial GAN
• PSGAN - PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening
• PS²-GAN - High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
• RadialGAN - RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
• RaGAN - The relativistic discriminator: a key element missing from standard GAN
• RAN - RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment (github)
• RankGAN - Adversarial Ranking for Language Generation
• RCGAN - Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
• ReConNN - Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network
• Recycle-GAN - Recycle-GAN: Unsupervised Video Retargeting
• RefineGAN - Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks
• ReGAN - ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs (github)
• RegCGAN - Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
• RenderGAN - RenderGAN: Generating Realistic Labeled Data
• Resembled GAN - Resembled Generative Adversarial Networks: Two Domains with Similar Attributes
• ResGAN - Generative Adversarial Network based on Resnet for Conditional Image Restoration
• RNN-WGAN - Language Generation with Recurrent Generative Adversarial Networks without Pre-training (github)
• RoCGAN - Robust Conditional Generative Adversarial Networks
• RPGAN - Stabilizing GAN Training with Multiple Random Projections (github)
• RTT-GAN - Recurrent Topic-Transition GAN for Visual Paragraph Generation
• RWGAN - Relaxed Wasserstein with Applications to GANs
• SAD-GAN - SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks
• SAGA - Generative Adversarial Learning for Spectrum Sensing
• SAGAN - Self-Attention Generative Adversarial Networks
• SalGAN - SalGAN: Visual Saliency Prediction with Generative Adversarial Networks (github)
• SAM - Sample-Efficient Imitation Learning via Generative Adversarial Nets
• sAOG - Deep Structured Generative Models
• SAR-GAN - Generating High Quality Visible Images from SAR Images Using CNNs
• SBADA-GAN - From source to target and back: symmetric bi-directional adaptive GAN
• ScarGAN - ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans
• SCH-GAN - SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network
• SD-GAN - Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
• Sdf-GAN - Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks
• SEGAN - SEGAN: Speech Enhancement Generative Adversarial Network
• SeGAN - SeGAN: Segmenting and Generating the Invisible
• SegAN - SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation
• Sem-GAN - Sem-GAN: Semantically-Consistent Image-to-Image Translation
• SeqGAN - SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient (github)
• SeUDA - Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
• SG-GAN - Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption (github)
• SG-GAN - Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
• SGAN - Texture Synthesis with Spatial Generative Adversarial Networks
• SGAN - Stacked Generative Adversarial Networks (github)
• SGAN - Steganographic Generative Adversarial Networks
• SGAN - SGAN: An Alternative Training of Generative Adversarial Networks
• SGAN - CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
• sGAN - Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI
• SiftingGAN - SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
• SiGAN - SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
• SimGAN - Learning from Simulated and Unsupervised Images through Adversarial Training
• SisGAN - Semantic Image Synthesis via Adversarial Learning
• Sketcher-Refiner GAN - Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training
• SketchGAN - Adversarial Training For Sketch Retrieval
• SketchyGAN - SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
• Skip-Thought GAN - Generating Text through Adversarial Training using Skip-Thought Vectors
• SL-GAN - Semi-Latent GAN: Learning to generate and modify facial images from attributes
• SLSR - Sparse Label Smoothing for Semi-supervised Person Re-Identification
• SN-DCGAN - Generative Adversarial Networks for Unsupervised Object Co-localization
• SN-GAN - Spectral Normalization for Generative Adversarial Networks (github)
• SN-PatchGAN - Free-Form Image Inpainting with Gated Convolution
• Sobolev GAN - Sobolev GAN
• Social GAN - Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
• Softmax GAN - Softmax GAN
• SoPhie - SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
• speech-driven animation GAN - End-to-End Speech-Driven Facial Animation with Temporal GANs
• Spike-GAN - Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
• Splitting GAN - Class-Splitting Generative Adversarial Networks
• SR-CNN-VAE-GAN - Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation (github)
• SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
• SRPGAN - SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution
• SS-GAN - Semi-supervised Conditional GANs
• ss-InfoGAN - Guiding InfoGAN with Semi-Supervision
• SSGAN - SSGAN: Secure Steganography Based on Generative Adversarial Networks
• SSL-GAN - Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
• ST-CGAN - Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
• ST-GAN - Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently
• ST-GAN - ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
• StackGAN - StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks (github)
• StainGAN - StainGAN: Stain Style Transfer for Digital Histological Images
• StarGAN - StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation (github)
• StarGAN-VC - StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
• SteinGAN - Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
• StepGAN - Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation
• Super-FAN - Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
• SVSGAN - SVSGAN: Singing Voice Separation via Generative Adversarial Network
• SWGAN - Solving Approximate Wasserstein GANs to Stationarity
• SyncGAN - SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks
• S^2GAN - Generative Image Modeling using Style and Structure Adversarial Networks
• T2Net - T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
• table-GAN - Data Synthesis based on Generative Adversarial Networks
• TAC-GAN - TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (github)
• TAN - Outline Colorization through Tandem Adversarial Networks
• tcGAN - Cross-modal Hallucination for Few-shot Fine-grained Recognition
• TD-GAN - Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
• tempCycleGAN - Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
• tempoGAN - tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow
• TequilaGAN - TequilaGAN: How to easily identify GAN samples
• Text2Shape - Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
• textGAN - Generating Text via Adversarial Training
• TextureGAN - TextureGAN: Controlling Deep Image Synthesis with Texture Patches
• TGAN - Temporal Generative Adversarial Nets
• TGAN - Tensorizing Generative Adversarial Nets
• TGAN - Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
• TGANs-C - To Create What You Tell: Generating Videos from Captions
• tiny-GAN - Analysis of Nonautonomous Adversarial Systems
• TP-GAN - Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
• TreeGAN - TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
• Triple-GAN - Triple Generative Adversarial Nets
• tripletGAN - TripletGAN: Training Generative Model with Triplet Loss
• TV-GAN - TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition
• Twin-GAN - Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs
• UGACH - Unsupervised Generative Adversarial Cross-modal Hashing
• UGAN - Enhancing Underwater Imagery using Generative Adversarial Networks
• Unim2im - Unsupervised Image-to-Image Translation with Generative Adversarial Networks (github)
• UNIT - Unsupervised Image-to-image Translation Networks (github)
• Unrolled GAN - Unrolled Generative Adversarial Networks (github)
• UT-SCA-GAN - Spatial Image Steganography Based on Generative Adversarial Network
• UV-GAN - UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition
• VA-GAN - Visual Feature Attribution using Wasserstein GANs
• VAC+GAN - Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios
• VAE-GAN - Autoencoding beyond pixels using a learned similarity metric
• VariGAN - Multi-View Image Generation from a Single-View
• VAW-GAN - Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks
• VEEGAN - VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning (github)
• VGAN - Generating Videos with Scene Dynamics (github)
• VGAN - Generative Adversarial Networks as Variational Training of Energy Based Models (github)
• VGAN - Text Generation Based on Generative Adversarial Nets with Latent Variable
• ViGAN - Image Generation and Editing with Variational Info Generative Adversarial Networks
• VIGAN - VIGAN: Missing View Imputation with Generative Adversarial Networks
• VoiceGAN - Voice Impersonation using Generative Adversarial Networks
• VOS-GAN - VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos
• VRAL - Variance Regularizing Adversarial Learning
• WaterGAN - WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images
• WaveGAN - Synthesizing Audio with Generative Adversarial Networks
• WaveletGLCA-GAN - Global and Local Consistent Wavelet-domain Age Synthesis
• weGAN - Generative Adversarial Nets for Multiple Text Corpora
• WGAN - Wasserstein GAN (github)
• WGAN-CLS - Text to Image Synthesis Using Generative Adversarial Networks
• WGAN-GP - Improved Training of Wasserstein GANs (github)
• WGAN-L1 - Subsampled Turbulence Removal Network
• WS-GAN - Weakly Supervised Generative Adversarial Networks for 3D Reconstruction
• X-GANs - X-GANs: Image Reconstruction Made Easy for Extreme Cases
• XGAN - XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings
• ZipNet-GAN - ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
• α-GAN - Variational Approaches for Auto-Encoding Generative Adversarial Networks (github)
• β-GAN - Annealed Generative Adversarial Networks
• Δ-GAN - Triangle Generative Adversarial Networks

The GAN Zoo 快速上手指南

The GAN Zoo 并非一个单一的代码库或可执行工具，而是一个开源的 GAN 论文与项目索引列表。它旨在帮助开发者追踪和查找各种命名独特的生成对抗网络（GAN）变体及其对应的原始论文和代码实现。

本指南将指导你如何获取该列表数据，并如何利用它快速找到你需要的具体 GAN 模型代码进行运行。

环境准备

由于本项目本质是数据索引，无需安装特定的运行时环境。要使用其中的资源，你需要具备以下基础开发环境：

• 操作系统: Windows, macOS 或 Linux
• 核心依赖:
  • Git (用于克隆仓库)
  • Python 3.x (用于运行具体的 GAN 代码)
  • PyTorch 或 TensorFlow (根据你选择的具体 GAN 模型要求而定)
• 网络环境: 能够访问 GitHub 和 arXiv。国内用户建议配置代理或使用加速服务以加快克隆速度。

安装步骤

你可以通过克隆 GitHub 仓库来获取完整的 GAN 列表数据（包含链接、标题等信息）。

1. 克隆仓库 打开终端，执行以下命令：

   git clone https://github.com/hindupuravinash/the-gan-zoo.git
   

   国内加速方案: 如果克隆速度较慢，可以使用国内镜像源（如 Gitee 上的同步镜像，若有）或设置 git 代理：

   # 示例：设置 http 代理 (请替换为你的实际代理地址)
   git config --global http.proxy http://127.0.0.1:7890
   git config --global https.proxy https://127.0.0.1:7890
   

2. 查看数据 进入目录，核心数据存储在 gans.tsv 文件中，你可以用文本编辑器或 Excel 打开查看：

   cd the-gan-zoo
   ls
   # 主要文件：gans.tsv (包含所有 GAN 名称、论文标题、arXiv 链接和 GitHub 链接)
   

   你也可以直接在浏览器中查看在线表格版本： https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv

基本使用

The GAN Zoo 的使用流程是：检索名称 -> 定位代码 -> 运行具体模型。

1. 检索目标模型

假设你想寻找用于“文本生成图像”的 AttnGAN 模型：

• 打开 gans.tsv 文件或在线表格。
• 搜索关键词 AttnGAN。
• 找到对应行，获取其 GitHub 代码库链接：https://github.com/taoxugit/AttnGAN。

2. 获取并运行具体模型

根据检索到的链接，克隆该具体模型的代码库并运行。以下是以 AttnGAN 为例的操作：

# 克隆具体的 AttnGAN 项目
git clone https://github.com/taoxugit/AttnGAN.git
cd AttnGAN

# 创建虚拟环境 (推荐)
python -m venv venv
source venv/bin/activate  # Windows 用户使用: venv\Scripts\activate

# 安装该模型所需的依赖 (具体依赖请参考该项目自身的 README)
pip install -r requirements.txt

# 下载预训练模型或数据集 (遵循该项目说明)
# 运行示例脚本
python main.py --cfg configs/bird_attngan.yml

3. 探索其他模型

你可以重复上述步骤，利用 gans.tsv 中的链接探索列表中数百种其他的 GAN 变体（如 CycleGAN, StyleGAN, BigGAN 等），每个模型都有其独立的仓库和使用说明。