732 Open source projects that are alternatives of or similar to Pacgan

(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf

Collection of generative models in Pytorch version.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Stochastic Adversarial Video Prediction

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Everything about Generative Adversarial Networks

An AI for Music Generation

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Code for GAN2Shape (ICLR2021 oral)

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

Bringing Old Photo Back to Life (CVPR 2020 oral)

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

GAN in Tensorflow to be run via Linux command line

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

Invert the color of MNIST images with PyTorch

Keras implementation of 3D Generative Adversarial Network.

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

🔥🔥 PyTorch implementation of "Progressive growing of GANs (PGGAN)" 🔥🔥

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

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

[CVPR2020] Adversarial Latent Autoencoders

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

A modern PyTorch implementation of SRGAN

Create Anime Characters with MakeGirlsMoe

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

The Simplest DCGAN Implementation

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

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Composable GAN framework with api and user interface

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

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

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

Solve captcha without manually labeling a training set

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

T2F: text to face generation using Deep Learning

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

DCGAN image generator 🖼️.