300 Open source projects that are alternatives of or similar to Torch Srgan

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Models and code related to sketch simplification of rough sketches.

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

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

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Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

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Trainable models and NN optimization tools

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

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Benchmark and resources for single super-resolution algorithms

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code for unsupervised learning Neural Hidden Markov Models paper

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Add colors to black and white images with neural networks (GANs).

A curated list of awesome Torch tutorials, projects and communities

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

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Deep Learning Toolbox for Torch

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torch data augmentation toolbox (supports affine transform)

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

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Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

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Variational Autoencoder trained by Feature Perceputal Loss

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Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution