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  • [转]GAN论文集

    really-awesome-gan

    A list of papers and other resources on General Adversarial (Neural) Networks.
    This site is maintained by Holger Caesar.
    To complement or correct it, please contact me at holger-at-it-caesar.com or visit it-caesar.com. Also checkout really-awesome-semantic-segmentation and our COCO-Stuff dataset.

    Overview

    Workshops

    • NIPS 2016 Workshop on Adversarial Training [Web] [Blog]

    Tutorials & Blogs

    • How to Train a GAN? Tips and tricks to make GANs work [Blog]
    • NIPS 2016 Tutorial: Generative Adversarial Networks [arXiv]
    • On the intuition behind deep learning & GANs — towards a fundamental understanding [Blog]
    • OpenAI - Generative Models [Blog]
    • SimGANs - a game changer in unsupervised learning, self driving cars, and more [Blog]

    Papers

    Theory & Machine Learning

    • A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
    • A General Retraining Framework for Scalable Adversarial Classification [Paper]
    • AdaGAN: Boosting Generative Models [arXiv]
    • Adversarial Autoencoders [arXiv]
    • Adversarial Discriminative Domain Adaptation [arXiv]
    • Adversarial Generator-Encoder Networks [arXiv]
    • Adversarial Feature Learning [arXiv] [Code]
    • Adversarially Learned Inference [arXiv] [Code]
    • An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks [arXiv]
    • Associative Adversarial Networks [arXiv]
    • Autoencoding beyond pixels using a learned similarity metric [arXiv]
    • BEGAN: Boundary Equilibrium Generative Adversarial Networks [Paper] [arXiv] [Code]
    • Boundary-Seeking Generative Adversarial Networks [arXiv] [Code]
    • Conditional Generative Adversarial Nets [arXiv] [Code]
    • Connecting Generative Adversarial Networks and Actor-Critic Methods [Paper]
    • C-RNN-GAN: Continuous recurrent neural networks with adversarial training [arXiv]
    • Cooperative Training of Descriptor and Generator Networks [arXiv]
    • Coupled Generative Adversarial Networks [arXiv] [Code]
    • Deep and Hierarchical Implicit Models [arXiv]
    • Energy-based Generative Adversarial Network [arXiv] [Code]
    • Explaining and Harnessing Adversarial Examples [arXiv]
    • f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization [arXiv] [Code]
    • Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking [[arXiv]] (https://arxiv.org/abs/1704.04865)
    • Generalization and Equilibrium in Generative Adversarial Nets (GANs) [arXiv]
    • Generating images with recurrent adversarial networks [arXiv]
    • Generative Adversarial Nets with Labeled Data by Activation Maximization [arXiv]
    • Generative Adversarial Networks [arXiv] [Code] [Code]
    • Generative Adversarial Networks as Variational Training of Energy Based Models [arXiv]
    • Generative Adversarial Parallelization [arXiv] [Code]
    • Generative Adversarial Residual Pairwise Networks for One Shot Learning [arXiv]
    • Generative Adversarial Structured Networks [Paper]
    • Generative Cooperative Net for Image Generation and Data Augmentation [arXiv]
    • Generative Moment Matching Networks [arXiv] [Code]
    • Geometric GAN [arXiv]
    • Improved Techniques for Training GANs [arXiv] [Code]
    • Improved Training of Wasserstein GANs [arXiv] [Code]
    • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv] [Code]
    • Inverting The Generator Of A Generative Adversarial Network [Paper]
    • Learning in Implicit Generative Models [Paper]
    • Learning to Discover Cross-Domain Relations with Generative Adversarial Networks [arXiv] [Code]
    • Least Squares Generative Adversarial Networks [arXiv] [Code]
    • Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities [arXiv]
    • LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation [arXiv]
    • MAGAN: Margin Adaptation for Generative Adversarial Networks [arXiv] [Code]
    • Maximum-Likelihood Augmented Discrete Generative Adversarial Networks [arXiv]
    • McGan: Mean and Covariance Feature Matching GAN [arXiv]
    • Message Passing Multi-Agent GANs [arXiv]
    • Mode Regularized Generative Adversarial Networks [arXiv] [Code]
    • Multi-Agent Diverse Generative Adversarial Networks [arXiv]
    • On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [arXiv]
    • On the Quantitative Analysis of Decoder-Based Generative Models [arXiv]
    • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
    • Simple Black-Box Adversarial Perturbations for Deep Networks [Paper]
    • Softmax GAN [arXiv]
    • Stacked Generative Adversarial Networks [arXiv]
    • Training generative neural networks via Maximum Mean Discrepancy optimization [arXiv]
    • Triple Generative Adversarial Nets [arXiv]
    • Unrolled Generative Adversarial Networks [arXiv]
    • Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [arXiv] [Code] [Code [Code] [Code] [Code]
    • Wasserstein GAN [arXiv] [Code] [Code]

    Applied Vision

    • 3D Shape Induction from 2D Views of Multiple Objects [arXiv]
    • Adversarial Networks for the Detection of Aggressive Prostate Cancer [arXiv]
    • Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation [arXiv]
    • Adversarial Training For Sketch Retrieval [arXiv]
    • Age Progression / Regression by Conditional Adversarial Autoencoder [arXiv]
    • Amortised MAP Inference for Image Super-resolution [arXiv]
    • ArtGAN: Artwork Synthesis with Conditional Categorial GANs [arXiv]
    • Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks [arXiv]
    • Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [arXiv]
    • Conditional generative adversarial nets for convolutional face generation [Paper]
    • Conditional Image Synthesis with Auxiliary Classifier GANs [Paper] [arXiv] [Code]
    • Contextual RNN-GANs for Abstract Reasoning Diagram Generation [arXiv]
    • CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training [arXiv]
    • Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks [arXiv] [Code] [Blog]
    • Deep multi-scale video prediction beyond mean square error [arXiv] [Code]
    • Deep Unsupervised Representation Learning for Remote Sensing Images [arXiv]
    • DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [arXiv] [Code]
    • Full Resolution Image Compression with Recurrent Neural Networks [arXiv]
    • Generate To Adapt: Aligning Domains using Generative Adversarial Networks [arXiv]
    • Generative Adversarial Text to Image Synthesis [arXiv] [Code]
    • Generative Visual Manipulation on the Natural Image Manifold [Project] [Youtube] [Paper] [Code]
    • GP-GAN: Towards Realistic High-Resolution Image Blending [arXiv]
    • Image De-raining Using a Conditional Generative Adversarial Network [arXiv]
    • Image Generation and Editing with Variational Info Generative Adversarial Networks [arXiv]
    • Image-to-Image Translation with Conditional Adversarial Networks [arXiv] [Code]
    • Imitating Driver Behavior with Generative Adversarial Networks [arXiv]
    • Invertible Conditional GANs for image editing [arXiv] [Paper]
    • Learning a Driving Simulator [arXiv]
    • Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling [arXiv]
    • Multi-view Generative Adversarial Networks [Paper]
    • Neural Photo Editing with Introspective Adversarial Networks [Paper] [arXiv]
    • Outline Colorization through Tandem Adversarial Networks [arXiv]
    • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network [arXiv]
    • Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [arXiv]
    • Recurrent Topic-Transition GAN for Visual Paragraph Generation [arXiv]
    • RenderGAN: Generating Realistic Labeled Data [arXiv]
    • SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks [arXiv]
    • SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [arXiv]
    • SeGAN: Segmenting and Generating the Invisible [arXiv]
    • Semantic Segmentation using Adversarial Networks [arXiv]
    • Semi-Latent GAN: Learning to generate and modify facial images from attributes [arXiv]
    • Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks [arXiv]
    • StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [arXiv]
    • Supervised Adversarial Networks for Image Saliency Detection [arXiv]
    • TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network [arXiv]
    • Temporal Generative Adversarial Nets [arXiv]
    • Towards Diverse and Natural Image Descriptions via a Conditional GAN [arXiv]
    • Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro [arXiv]
    • Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [arXiv]
    • Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks [arXiv]
    • Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery [arXiv]
    • Unsupervised Cross-Domain Image Generation [arXiv]
    • WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images [arXiv]

    Applied Other

    • Adversarial Training Methods for Semi-Supervised Text Classification [arXiv] [Paper]
    • Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN [arXiv]
    • Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks [arXiv]
    • Learning to Protect Communications with Adversarial Neural Cryptography [arXiv] [Blog]
    • MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions [arXiv]
    • Reconstruction of three-dimensional porous media using generative adversarial neural networks [arXiv] [Code]
    • SEGAN: Speech Enhancement Generative Adversarial Network [arXiv]
    • Semi-supervised Learning of Compact Document Representations with Deep Networks [Paper]
    • Steganographic Generative Adversarial Networks [arXiv]

    Humor

    • Stopping GAN Violence: Generative Unadversarial Networks [arXiv]

    Videos

    • Generative Adversarial Networks by Ian Goodfellow [Video]
    • Tutorial on Generative Adversarial Networks by Mark Chang [Video]

    Code

    • Cleverhans: A library for benchmarking vulnerability to adversarial examples [Code] [Blog]
    • Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch) [Blog] [Code]
    • Generative Models: Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow [Code]
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  • 原文地址:https://www.cnblogs.com/weiyinfu/p/9710877.html
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