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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

Awesome GAN for Medical Imaging

A modern PyTorch implementation of SRGAN

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

Showcasing various fun adventures with GANs

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

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

Official pytorch implementation of the IrwGAN for unaligned image-to-image translation

A list of all named GANs!

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

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

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

Semantic Image Inpainting

Page to PAGE Layout Analysis Tool

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

OpenMMLab Image and Video Editing Toolbox

A PyTorch implementation for StyleGAN with full features.

Pytorch deep learning face frontalization model

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

Code for GAN2Shape (ICLR2021 oral)

A stable algorithm for GAN training

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

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

Handwritten Chinese Characters Generation

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

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

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

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

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.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

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

Projecting images to latent space with StyleGAN2.

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

Focal Frequency Loss for Generative Models

🎎 InfoGAN: Interpretable Representation Learning

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

Unsupervised anomaly detection with generative model, keras implementation

Generative Adversarial Networks and Autoencoders for 3D Shapes

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

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

DCGAN image generator 🖼️.

Collection of generative models in Pytorch version.

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

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

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.

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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

On the "steerability" of generative adversarial networks

Image-to-Image Translation in PyTorch

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Spectral Normalization for Keras Dense and Convolution Layers

A DCGAN to generate anime faces using custom mined dataset