398 Open source projects that are alternatives of or similar to Stylegan Web

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Generative Adversarial Networks in Keras

Discovering Interpretable GAN Controls [NeurIPS 2020]

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

The codes of VAE-GAN model for 3d shape reconstruction from depth data

SpecGAN - generate audio with adversarial training

Composable GAN framework with api and user interface

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Bringing Old Photo Back to Life (CVPR 2020 oral)

Toward Multimodal Image-to-Image Translation

Conditional GAN for Anime face generation.

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

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Image-to-image translation with conditional adversarial nets

GAAL-based Outlier Detection

PyTorch implementation of Adversarially Learned Inference (BiGAN).

videos, lectures, blogs for Deep Learning

An implementation of CycleGan using TensorFlow

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Voice Conversion using Cycle GAN's For Non-Parallel Data

Official repository of JSI-GAN (Accepted at AAAI 2020).

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Conversational AI Reading Materials

Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)

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

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

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

A large-scale face dataset for face parsing, recognition, generation and editing.

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

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

Privacy-preserving generative deep neural networks support clinical data sharing

Pix2Pix Image translation using conditional generative adversarial network - sketch to face

A Pytorch implementation of Stylegan2 with UNet Discriminator

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Disentangled Makeup Transfer with Generative Adversarial Network

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

Spectral Normalization for Keras Dense and Convolution Layers

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

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

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

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

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

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

based on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

C++ Implementation of PyTorch Tutorials for Everyone

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

This toolbox is support material for the book on CNN (http://www.convolution.network).

The implementation of Relativistic average GAN with Keras

Give a portrait face, move the gaze up

Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

GANs for time series generation in pytorch

Projecting images to latent space with StyleGAN2.

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

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

Compute FID scores with PyTorch.