494 Open source projects that are alternatives of or similar to Pytorch Generative Adversarial Networks

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

Generate Cartoon Images using Generative Adversarial Network

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

GIF is a photorealistic generative face model with explicit 3D geometric and photometric control.

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

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Synthetic Data Generation for tabular, relational and time series data.

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

StarNet

Official PyTorch implementation of GDWCT (CVPR 2019, oral)

Image-to-Image Translation in PyTorch

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

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Visualization of GAN training process

Pytorch implementation of pix2pix for various datasets.

Modified h5tool.py make user getting celeba-HQ easier

Awesome Resources for Advanced Computer Vision Topics

A Keras implementation of image deblurring based on ICCV 2017 paper "Deep Generative Filter for motion deblurring"

A MNIST-like fashion product database. Benchmark 👇

Compute FID scores with PyTorch.

Multinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)

《深度学习与计算机视觉》配套代码

Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.

Deep learning with cats (^._.^)

A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"

Add colors to black and white images with neural networks (GANs).

Tensorflow Implementation of GAN modeling for sequential data

Unity Post Processing with Convolution Neural Network

Research Framework for easy and efficient training of GANs based on Pytorch

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Image-to-image translation with conditional adversarial nets

CPU/GPU/TPU implementation of the Fréchet Inception Distance

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Comparison of Generative Models in Tensorflow

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

Adversarial Generation of Continuous Images [CVPR 2021]

learn code with tensorflow

Neural Paiters

Generating Cat images using StyleGAN

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

🏖 Keras Implementation of Painting outside the box

TensorFlow GAN implementation using Gumbel Softmax