505 Open source projects that are alternatives of or similar to DCGAN-CIFAR10

Collection of generative models in Pytorch version.

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Stochastic Adversarial Video Prediction

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Paper notes in deep learning/machine learning and computer vision

Learning kernels to maximize the power of MMD tests

Tensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Software that can autocomplete sketches as the user starts drawing.

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

anomaly detection by one-class SVM

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

A PyTorch implementation for StyleGAN with full features.

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Personalized Fashion Recommendation and Generation

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

A DCGAN to generate anime faces using custom mined dataset

Semi-supervised GAN in "Improved Techniques for Training GANs"

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

OpenMMLab Image and Video Editing Toolbox

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Generative Adversarial Networks and Autoencoders for 3D Shapes

Keras implementation of temporal ensembling(semi-supervised learning)

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

🎎 InfoGAN: Interpretable Representation Learning

Page to PAGE Layout Analysis Tool

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Assessing Generative Models via Precision and Recall (official repository)

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Anime Generation

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation

Focal Frequency Loss for Generative Models

No description or website provided.

A Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.

Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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.

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

30 Days GANs Paper Reading

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.

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen

A sketch extractor for anime/illustration.

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Rethinking Image Inpainting via a Mutual Encoder Decoder with Feature Equalizations. ECCV 2020 Oral

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

chainer implementation of pix2pix

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN