ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Generative Inpainting Pytorch
A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Stacked Generative Adversarial Networks
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Colorizing With Gans
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Coherent Semantic Attention for image inpainting(ICCV 2019)
Auxiliary Classifier Generative Adversarial Networks in Keras
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
A stable algorithm for GAN training
Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
Gan Weight Norm
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Learning kernels to maximize the power of MMD tests
Tensorflow implementation of generative adversarial imitation learning
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Generative adversarial training for generating synthetic tabular data.
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
Accel Brain Code
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflow
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Tensorflow Mnist Gan Dcgan
Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
OpenMMLab Image and Video Editing Toolbox
Unsupervised anomaly detection with generative model, keras implementation
Generative Adversarial Networks and Autoencoders for 3D Shapes