662 Open source projects that are alternatives of or similar to Adgan

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

Collection of generative models in Pytorch version.

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

Image-to-Image Translation in PyTorch

A PyTorch implementation for StyleGAN with full features.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

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

On the "steerability" of generative adversarial networks

Page to PAGE Layout Analysis Tool

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

SpecGAN - generate audio with adversarial training

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

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

Handwritten Chinese Characters Generation

A list of all named GANs!

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.

Projecting images to latent space with StyleGAN2.

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

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

Code for GAN2Shape (ICLR2021 oral)

Focal Frequency Loss for Generative Models

A DCGAN to generate anime faces using custom mined dataset

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

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

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

Discovering Interpretable GAN Controls [NeurIPS 2020]

Privacy-preserving generative deep neural networks support clinical data sharing

Compute FID scores with PyTorch.

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

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

Spectral Normalization for Keras Dense and Convolution Layers

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

A collection of arbitrary text to image papers with code (constantly updating)

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

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

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

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

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

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

A stable algorithm for GAN training

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

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

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

Semantic Image Inpainting

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

🎎 InfoGAN: Interpretable Representation Learning

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

Pytorch deep learning face frontalization model

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

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

Unsupervised anomaly detection with generative model, keras implementation

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

Image-to-image translation with conditional adversarial nets

Awesome GAN for Medical Imaging

Generative Adversarial Networks and Autoencoders for 3D Shapes

DCGAN image generator 🖼️.

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