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

Real-World Super-Resolution via Kernel Estimation and Noise Injection

C++ Implementation of PyTorch Tutorials for Everyone

Torch7 -> CoreML

Setup and customize deep learning environment in seconds.

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

code for unsupervised learning Neural Hidden Markov Models paper

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

Akarin is a powerful (not yet) server software from the 'new dimension'

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

VDSR (CVPR2016) pytorch implementation

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

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

A curated list of awesome Torch tutorials, projects and communities

All image quality metrics you need in one package.

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

DeepNude with DreamNet improvements.

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

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

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

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

Generate human faces with neural networks

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

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

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

TOM-Net: Learning Transparent Object Matting from a Single Image (CVPR 2018)

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

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Deep Learning Toolbox for Torch

SwinIR: Image Restoration Using Swin Transformer (official repository)

❔ Visual Question Answering in Torch

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

torch data augmentation toolbox (supports affine transform)

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Scale-wise Convolution for Image Restoration

Some extra features for pytorch.

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Bicubic interpolation for images (Python)

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Manual, source-code and binaries for the NanoJ-Fluidics project

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

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

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

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

Variational Autoencoder trained by Feature Perceputal Loss

Matlab reimplementation of SCNSR

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

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

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.