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

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

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

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

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

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

Image-to-Image Translation in PyTorch

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

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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Generate Cartoon Images using Generative Adversarial Network

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

GAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.

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

An implementation of CycleGan using TensorFlow

The implementation of Relativistic average GAN with Keras

Solve captcha without manually labeling a training set

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

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

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

T2F: text to face generation using Deep Learning

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

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

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

Generative Adversarial Networks in Keras

This repository contains a new generative model of chatbot based on seq2seq modeling.

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Interactive Image Generation via Generative Adversarial Networks

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

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

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

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

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

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

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

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

Code for deep generative prior (ECCV2020 oral)

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

Awesome Generative Adversarial Networks with tensorflow

Synthesizing and manipulating 2048x1024 images with conditional GANs

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

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

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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

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

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

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

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

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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