179 Open source projects that are alternatives of or similar to SMSR

A package for AFM image reconstruction and compressed sensing in general

Pytorch framework can easily implement srcnn algorithm with excellent performance

A collection of tools for painting super-resolution images

Ordered Weighted L1 regularization for classification and regression in Python

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

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

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.

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

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

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

Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626

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.

Official repository of FISR (AAAI 2020).

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

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

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.

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

将任何窗口放大至全屏

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’.

(CVPR 2021, Oral) Dynamic Slimmable Network

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

computational zoom from raw sensor data

A generic framework which implements some famouts super-resolution models

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

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

A research library for pytorch-based neural network pruning, compression, and more.

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

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。

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

A video analysis tool built completely in python.

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

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

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

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

SRDenseNet-pytorch（ICCV_2017）

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

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

AI Super - Resolution

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 …

Efficient & Generic Video Super-Resolution

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

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

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence (IJCAI), 2018

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

Attention-Based Guided Structured Sparsity of Deep Neural Networks

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

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

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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Pytorch implementation for LapSRN (CVPR2017)

Multi-frame super-resolution via sub-pixel.

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

Image Denoising Codes using STROLLR learning, the Matlab implementation of the paper in ICASSP2017

AI无损放大工具

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

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

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

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。

Super Resolution for Anime image, lightweight implementation