Code Monkey home page Code Monkey logo

ganspapercollection's Introduction

GANsPaperCollection

2014

Generative Adversarial Nets [paper] [code]

Conditional Generative Adversarial Nets [paper]

2015

Deep Generative Image Models Using a Laplacian Pyramid of Adversarial Networks [paper]

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks [paper] [code]

Adversarial Autoencoders [paper]

Deep Multi-scale Video Prediction Beyond Mean Square Error [paper]

Autoencoding beyond Pixels Using a Learned Similarity Metric [paper]

2016

Image-to-image Translation with Conditional Adversarial Networks [paper] [Torch code] [TF code]

Semantic Segmentation Using Adversarial Networks [paper]

StackGAN Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks [paper] [code]

Photo-realistic Single Image Super-resolution Using a Generative Adversarial Network [paper] [tf+tl code] [Torch code] [Torch code]

Generating Images with Perceptual Similarity Metrics based on Deep Networks [paper]

Generating Images with Recurrent Adversarial Networks [paper]

Generative Visual Manipulation on the Natural Image Manifold [paper]

Generative Adversarial Text to Image Synthesis [paper]

Learning What and Where to Draw [paper]

Adversarial Training for Sketch Retrieval [paper]

Generative Image Modeling using Style and Structure Adversarial Networks [paper]

Generative Adversarial Networks as Variational Training of Energy Based Models [paper]

Adversarial Training Methods for Semi-Supervised Text Classification [paper]

Learning from Simulated and Unsupervised Images through Adversarial Training [paper]

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks [paper]

Adversarial Feature Learning [paper]

Semantic Image Inpainting with Perceptual and Contextual Losses [paper]

"Semantic Image Inpainting with Deep Generative Models" the same as the above but different title.

Context Encoders: Feature Learning by Inpainting [paper]

Semi-supervised Learning with Context-conditional Generative Adversarial Networks [paper]

Robust LSTM-autoencoders for Face De-occlusion in the Wild [paper]

C-RNN-GAN: Continuous Recurrent Neural Networks with Adversarial Training [paper]

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [Paper]

Conditional Image Synthesis with Auxiliary Classifier GANs [paper]

Pixel-level Domain Transfer [paper]

Invertible Conditional GANs for Image Editing [paper]

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space [Paper]

Unsupervised Learning for Physical Interaction through Video Prediction [paper]

Generating Videos with Scene Dynamics [paper]

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks [paper] [code]

Medical Image Synthesis with Context-aware Generative Adversarial Networks [paper]

Learning Temporal Transformations from Time-lapse Videos [paper]

Improved Techniques for Training GANs [paper]

Mode Regularized Generative Adversarial Networks [paper]

Amortised MAP Inference for Image Super-resolution [paper]

Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

Adversarially Learned Inference [paper] [code]

Adversarial Feature Learning [paper]

EnhanceNet Single Image Super-Resolution through Automated Texture Synthesis [paper]

One-to-Many Network for Visually Pleasing Compression Artifacts Reduction [paper]

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring [paper] [Torch code]

Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks [paper]

Least Squares Generative Adversarial Networks [paper] [code]

2017

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks [paper]

AdaGAN: Boosting Generative Models [paper]

Unsupervised Image-to-image Translation with Generative Adversarial Networks [paper]

Adversarial Networks for the Detection of Aggressive Prostate Cancer [paper]

Generative Adversarial Residual Pairwise Networks for One Shot Learning [paper]

GP-GAN Towards Realistic High-resolution Image Blending [paper]

Image De-raining Using a Conditional Generative Adversarial Network [paper]

Semi-latent GAN Learning to Generate and Modify Facial Images from Attributes [paper]

Loss-sensitive Generative Adversarial Networks on Lipschitz Densities [paper] [code]

On the Effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks [paper]

Beyond Face Rotation Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis [paper]

Neural Face Editing with Intrinsic Image Disentangling [paper]

DualGAN: Unsupervised Dual Learning for Image-to-Image Translation [paper]

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks [paper]

Face Aging With Conditional Generative Adversarial Networks [paper]

Outline Colorization through Tandem Adversarial Networks [paper]

Real-Time Adaptive Image Compression [paper]

Improved Training of Wasserstein GANs [paper] [code]

The Cramer Distance as a Solution to Biased Wasserstein Gradients [paper] [code]

Video Imagination from a Single Image with Transformation Generation [paper]

Perceptual Generative Adversarial Networks for Small Object Detection [paper]

TextureGAN Controlling Deep Image Synthesis with Texture Patches [paper]

Interactive 3D Modeling with a Generative Adversarial Network [paper]

Bayesian Conditional Generative Adverserial Networks [paper]

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis [paper]

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks [paper] [Keras+TF code]

Perceptual Adversarial Networks for Image-to-Image Transformation [paper]

Adversarial Image Alignment and Interpolation [paper]

On Unifying Deep Generative Models [paper]

Generalization and Equilibrium in Generative Adversarial Nets (GANs) [paper]

SegAN Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation [paper]

Self Adversarial Training for Human Pose Estimation [paper]

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network [paper]

AlignGAN Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks [paper]

High-Quality Face Image SR Using Conditional Generative Adversarial Networks [paper]

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks [paper]

Virtual PET Images from CT Data Using Deep Convolutional Networks Initial Results [paper]

Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) [paper]

Deep MR to CT Synthesis using Unpaired Data [paper]

Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss [paper]

Bayesian GAN [paper]

Stabilizing Training of Generative Adversarial Networks through Regularization [paper]

GANs for Biological Image Synthesis [paper]

Sharpness-aware Low dose CT denoising using conditional generative adversarial network [paper]

Adversarial Generation of Training Examples for Vehicle License Plate Recognition [paper]

Adversarial Training and Dilated Convolutions for Brain MRI Segmentation [paper]

Aesthetic-Driven Image Enhancement by Adversarial Learning [paper]

Adversarial Nets with Perceptual Losses for Text-to-image Synthesis [paper]

Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network [paper]

Adversarial PoseNet A Structure-aware Convolutional Network for Human Pose Estimation [paper]

Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB [paper]

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network [paper]

Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks [paper]

Synthetic Medical Images from Dual Generative Adversarial Networks [paper]

Learning Loss for Knowledge Distillation with Conditional Adversarial Networks [papaer]

Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification [paper]

Towards Understanding Adversarial Learning for Joint Distribution Matching [paper]

Generative Semantic Manipulation with Contrasting GAN [paper]

Deep Generative Filter for Motion Deblurring [paper]

Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [paper]

Exposure A White-Box Photo Post-Processing Framework [paper]

A Study of Cross-domain Generative Models applied to Cartoon Series [paper]

Fisher GAN [paper]

Neural Stain-Style Transfer Learning using GAN for Histopathological Images [paper]

Many Paths to Equilibrium GANs Do Not Need to Decrease aDivergence At Every Step [paper]

Progressive Growing of GANs for Improved Quality, Stability, and Variation [paper] [code]

Addressing Challenging Place Recognition Tasks using Generative Adversarial Networks [paper]

Generative Adversarial Network based on Resnet for Conditional Image Restoration [paper]

Face Transfer with Generative Adversarial Network [paper]

SEGAN Speech Enhancement Generative Adversarial Network [paper] [code]

BEGAN Boundary Equilibrium Generative Adversarial Networks [paper]

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [paper] [Pytorch code]

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [paper] [code]

ganspapercollection's People

Contributors

shawnyuen avatar

Watchers

James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.