167 Open source projects that are alternatives of or similar to Usrnet

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

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

Bicubic interpolation for images (Python)

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

A survey of recent application of deep learning on super-resolution tasks

SwinIR: Image Restoration Using Swin Transformer (official repository)

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

A generic framework which implements some famouts super-resolution models

A modern PyTorch implementation of SRGAN

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

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

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

Pytorch implementation for SRDenseNet (ICCV2017)

Image Super-Resolution for Anime-Style Art

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A Real-ESRGAN model trained on a custom dataset

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

All image quality metrics you need in one package.

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

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.

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

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

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

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

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

A Caffe-based implementation of very deep convolution network for image super-resolution

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

SRZoo: An integrated repository for super-resolution using deep learning

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

A Python implementation of RAISR

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

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

A video analysis tool built completely in python.

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

AI Super - Resolution

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

VDSR (CVPR2016) pytorch implementation

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

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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

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

TOFlow: Video Enhancement with Task-Oriented Flow

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