hwalsuklee

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

zi2zi

Learning Chinese Character style with conditional GAN

art-DCGAN

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

Delving-deep-into-GANs

Generative Adversarial Networks (GANs) resources sorted by citations

RCF

Richer Convolutional Features for Edge Detection

Face-Aging-CAAE

Age Progression/Regression by Conditional Adversarial Autoencoder

pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

pytorch-MNIST-CelebA-cGAN-cDCGAN

Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset

tf.gans-comparison

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

inverse-compositional-STN

Inverse Compositional Spatial Transformer Networks :performing_arts: (CVPR 2017 oral)

deepfeatinterp

Deep Feature Interpolation (CVPR 2017)

hdrnet_legacy

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancements', SIGGRAPH 2017

DRAGAN

A stable algorithm for GAN training

adda

DistanceGAN

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

comics

COMICS data / code / annotations

pytorch-pix2pix

Pytorch implementation of pix2pix for various datasets.

tf-exercise-gan

Tensorflow implementation of different GANs and their comparisions

deligan

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

UberNet

Demo for CVPR 2017 paper

loss-correction

Robust loss functions for deep neural networks (CVPR 2017)

pytorch-CycleGAN

Pytorch implementation of CycleGAN.

divcolor

Implementation of "Learning Diverse Image Colorization" CVPR'17

TDAE

CVPR2017 Face hallucination

magan

Tensorflow Implementation for MAGAN: Margin Adaptation for Adversarial Networks

GANs

Study Generative Adversarial Networks

gy_mlcamp17

repository for saving codes during mlcamp jeju17