GAN 论文大汇总

摘要：在这里汇总了一个现在和经常使用的论文，所有文章都链接到了上面。如果你对感兴趣，可以访问这个专题。作者微信号简书地址是一个专注于算法实战的平台，从基础的算法到人工智能算法都有设计。加入实战微信群，实战群，算法微信群，算法群。

作者：chen_h
微信号 & QQ：862251340
微信公众号：coderpai
简书地址：https://www.jianshu.com/p/b7f...

关于生成对抗网络（GAN）的新论文每周都会出现很多，跟踪发现他们非常难，更不用说去辨别那些研究人员对 GAN 各种奇奇怪怪，令人难以置信的创造性的命名！当然，你可以通过阅读 OpanAI 的博客或者 KDNuggets 中的概述性阅读教程，了解更多的有关 GAN 的信息。

在这里汇总了一个现在和经常使用的GAN论文，所有文章都链接到了 Arxiv 上面。

GAN — Generative Adversarial Networks

3D-GAN — Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

AC-GAN — Conditional Image Synthesis With Auxiliary Classifier GANs

AdaGAN — AdaGAN: Boosting Generative Models

AffGAN — Amortised MAP Inference for Image Super-resolution

AL-CGAN — Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

ALI — Adversarially Learned Inference

AMGAN — Generative Adversarial Nets with Labeled Data by Activation Maximization

AnoGAN — Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

ArtGAN — ArtGAN: Artwork Synthesis with Conditional Categorial GANs

b-GAN — b-GAN: Unified Framework of Generative Adversarial Networks

Bayesian GAN — Deep and Hierarchical Implicit Models

BEGAN — BEGAN: Boundary Equilibrium Generative Adversarial Networks

BiGAN — Adversarial Feature Learning

BS-GAN — Boundary-Seeking Generative Adversarial Networks

CGAN — Conditional Generative Adversarial Nets

CCGAN — Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

CatGAN — Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

CoGAN — Coupled Generative Adversarial Networks

Context-RNN-GAN — Contextual RNN-GANs for Abstract Reasoning Diagram Generation

C-RNN-GAN — C-RNN-GAN: Continuous recurrent neural networks with adversarial training

CVAE-GAN — CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

CycleGAN — Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

DTN — Unsupervised Cross-Domain Image Generation

DCGAN — Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

DiscoGAN — Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

DR-GAN — Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

DualGAN — DualGAN: Unsupervised Dual Learning for Image-to-Image Translation

EBGAN — Energy-based Generative Adversarial Network

f-GAN — f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

GAWWN — Learning What and Where to Draw

GoGAN — Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking

GP-GAN — GP-GAN: Towards Realistic High-Resolution Image Blending

IAN — Neural Photo Editing with Introspective Adversarial Networks

iGAN — Generative Visual Manipulation on the Natural Image Manifold

IcGAN — Invertible Conditional GANs for image editing

ID-CGAN- Image De-raining Using a Conditional Generative Adversarial Network

Improved GAN — Improved Techniques for Training GANs

InfoGAN — InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

LAPGAN — Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

LR-GAN — LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation

LSGAN — Least Squares Generative Adversarial Networks

LS-GAN — Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

MGAN — Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

MAGAN — MAGAN: Margin Adaptation for Generative Adversarial Networks

MAD-GAN — Multi-Agent Diverse Generative Adversarial Networks

MalGAN — Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN

MARTA-GAN — Deep Unsupervised Representation Learning for Remote Sensing Images

McGAN — McGan: Mean and Covariance Feature Matching GAN

MedGAN — Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks

MIX+GAN — Generalization and Equilibrium in Generative Adversarial Nets (GANs)

MPM-GAN — Message Passing Multi-Agent GANs

MV-BiGAN — Multi-view Generative Adversarial Networks

pix2pix — Image-to-Image Translation with Conditional 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

RenderGAN — RenderGAN: Generating Realistic Labeled Data

RTT-GAN — Recurrent Topic-Transition GAN for Visual Paragraph Generation

SGAN — Stacked Generative Adversarial Networks

SGAN — Texture Synthesis with Spatial Generative Adversarial Networks

SAD-GAN — SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks

SalGAN — SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

SEGAN — SEGAN: Speech Enhancement Generative Adversarial Network

SeGAN — SeGAN: Segmenting and Generating the Invisible

SeqGAN — SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

SketchGAN — Adversarial Training For Sketch Retrieval

SL-GAN — Semi-Latent GAN: Learning to generate and modify facial images from attributes

Softmax-GAN — Softmax GAN

SRGAN — Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

S²GAN — Generative Image Modeling using Style and Structure Adversarial Networks

SSL-GAN — Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks

StackGAN — StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

TGAN — Temporal Generative Adversarial Nets

TAC-GAN — TAC-GAN — Text Conditioned Auxiliary Classifier Generative Adversarial Network

TP-GAN — Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis

Triple-GAN — Triple Generative Adversarial Nets

Unrolled GAN — Unrolled Generative Adversarial Networks

VGAN — Generating Videos with Scene Dynamics

VGAN — Generative Adversarial Networks as Variational Training of Energy Based Models

VAE-GAN — Autoencoding beyond pixels using a learned similarity metric

VariGAN — Multi-View Image Generation from a Single-View

ViGAN — Image Generation and Editing with Variational Info Generative AdversarialNetworks

WGAN — Wasserstein GAN

WGAN-GP — Improved Training of Wasserstein GANs

WaterGAN — WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images

如果你对 GAN 感兴趣，可以访问这个专题。欢迎交流。

作者：chen_h
微信号 & QQ：862251340
简书地址：https://www.jianshu.com/p/b7f...

CoderPai 是一个专注于算法实战的平台，从基础的算法到人工智能算法都有设计。如果你对算法实战感兴趣，请快快关注我们吧。加入AI实战微信群，AI实战QQ群，ACM算法微信群，ACM算法QQ群。长按或者扫描如下二维码，关注 “CoderPai” 微信号（coderpai）