901 Open source projects that are alternatives of or similar to Stylegan.pytorch

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

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

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

Compute FID scores with PyTorch.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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

An implementation of CycleGan using TensorFlow

Composable GAN framework with api and user interface

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

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

InstaGAN: Instance-aware Image Translation (ICLR 2019)

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

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

Generative Adversarial Networks in Keras

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

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

Awesome GAN for Medical Imaging

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

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

Handwritten Chinese Characters Generation

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

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

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.

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

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

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

Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".

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

An AI for Music Generation

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

Semantic Image Inpainting

The implementation of Relativistic average GAN with Keras

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

Image-to-image translation with conditional adversarial nets

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

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

Synthesizing and manipulating 2048x1024 images with conditional GANs

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

Privacy-preserving generative deep neural networks support clinical data sharing

Focal Frequency Loss for Generative Models

SpecGAN - generate audio with adversarial training

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Projecting images to latent space with StyleGAN2.

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

Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

A list of all named GANs!

Using Machine Learning to predict the type of exercise from movement data

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

Awesome Generative Adversarial Networks with tensorflow

Discovering Interpretable GAN Controls [NeurIPS 2020]

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation (CVPR20)

🎎 InfoGAN: Interpretable Representation Learning

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