[ECCV 2022 & T-PAMI 2024] Multiple Look-Up Tables for Efficient Image Restoration

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

Super Resolution for images using deep learning.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

VRT: A Video Restoration Transformer (official repository)

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

Pytorch implementation of QA-Net, quality map associated attention network for multi-image super-resolution

Multi frame image super resolution

Residual Refine based Pseudo Multi-frame Network for Efficient Single Image Super-Resolution

Non-sequential multi-frame super-resolution image generation

Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

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

Solution to Proba-V Super Resolution

Real time pupil detection in noisy images

This project uses CNN to detect edges of 2-D Roof images

LDC: Lightweight Dense CNN for Edge Detection

Edge Detection using Deep Learning using tensorflow_gpu

使用opencv与pyqt5实现的图像处理程序，已实现转灰度图、图像平滑、形态学操作、梯度计算、阈值处理、边缘检测、轮廓检测

OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理

Holistically-Nested Edge Detection

Bio‑inspired feature enhancement network for edge detection

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)

Image Denoising and Classification using Machine Learning . Can detect saltpepper/speckle/gaussian/Rayleigh/uniform/exponential noises , and apply the best filter to denoise the image . Canny Edge …

[TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

Lightweight Image Super-Resolution with Enhanced CNN (Knowledge-Based Systems,2020)

Library of Python functions for various types of image enhancement

Experiments on CNN-based image enhancement in pytorch