1248 Open source projects that are alternatives of or similar to Pytorch Pretrained Biggan

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

Composable GAN framework with api and user interface

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

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.

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

An extremely simple generative adversarial network, built with TensorFlow

Create Anime Characters with MakeGirlsMoe

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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.

Generate text boxes from input words with a GAN.

Pytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

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

A modern PyTorch implementation of SRGAN

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

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

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

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

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

T2F: text to face generation using Deep Learning

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

Invert the color of MNIST images with PyTorch

Applied Deep Learning (2019 Spring) @ NTU

Keras implementation of 3D Generative Adversarial Network.

Generate Cartoon Images using Generative Adversarial Network

[CVPR2020] Adversarial Latent Autoencoders

[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

The Simplest DCGAN Implementation

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

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

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

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

Code for deep generative prior (ECCV2020 oral)

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

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

Train a StyleGAN2 model on Colaboratory to generate Steam banners.

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

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

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

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

Solve captcha without manually labeling a training set

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Awesome Generative Adversarial Networks with tensorflow

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

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

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

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)

A clean and readable Pytorch implementation of CycleGAN

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

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

Official Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]

Generative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)

Interactive Image Generation via Generative Adversarial Networks

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)