806 Open source projects that are alternatives of or similar to Ranksrgan

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Awesome GAN for Medical Imaging

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

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

A modern PyTorch implementation of SRGAN

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

Awesome Resources for Advanced Computer Vision Topics

3D super-resolution using Generative Adversarial Networks

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.

Handwritten Chinese Characters Generation

Collection of generative models in Pytorch version.

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

SpecGAN - generate audio with adversarial training

Code for GAN2Shape (ICLR2021 oral)

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Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

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

A list of all named GANs!

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

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

Focal Frequency Loss for Generative Models

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

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

Generative Adversarial Networks and Autoencoders for 3D Shapes

Discovering Interpretable GAN Controls [NeurIPS 2020]

Page to PAGE Layout Analysis Tool

Unsupervised anomaly detection with generative model, keras implementation

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

A stable algorithm for GAN training

Compute FID scores with PyTorch.

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

Privacy-preserving generative deep neural networks support clinical data sharing

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

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

Projecting images to latent space with StyleGAN2.

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

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Spectral Normalization for Keras Dense and Convolution Layers

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

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

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

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

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

Semantic Image Inpainting

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

A PyTorch implementation for StyleGAN with full features.

🎎 InfoGAN: Interpretable Representation Learning

OpenMMLab Image and Video Editing Toolbox

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

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

A DCGAN to generate anime faces using custom mined dataset

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

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

Pytorch deep learning face frontalization model

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

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

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

Image-to-image translation with conditional adversarial nets