185 Open source projects that are alternatives of or similar to Super-Resolution-Meta-Attention-Networks

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

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

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

AI无损放大工具

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Efficient & Generic Video Super-Resolution

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

A generic framework which implements some famouts super-resolution models

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

computational zoom from raw sensor data

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).

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

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

A Python software library with a variety of functions for (optical) microscopy image restoration, reconstruction and analysis.

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

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。

Multi-frame super-resolution via sub-pixel.

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

Super Resolution for Anime image, lightweight implementation

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

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

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

SRDenseNet-pytorch（ICCV_2017）

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

A collection of tools for painting super-resolution images

将任何窗口放大至全屏

Image inpainting based on OMP and KSVD algorithm

Pytorch framework can easily implement srcnn algorithm with excellent performance

This paper is accepted by ICCV 2021.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

Pytorch implementation for LapSRN (CVPR2017)

Code and Datasets for "Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement", Pattern Recognition, 2019

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

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

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

(ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

A High-Quality Real Time Upscaler for Anime Video

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

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

A video analysis tool built completely in python.