This repository is part of an ongoing personal project to understand and improve video/image restoration and processing.
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Updated
Jan 14, 2023 - Python
This repository is part of an ongoing personal project to understand and improve video/image restoration and processing.
Image Restoration with Deep Learning: A Comparison of Techniques
A single image deraining training and testing code with detailed explanations.
Position-Dependent Richardson-Lucy deconvolution
“Disparitybased space-variant image deblurring,” Signal Processing: Image Communication, vol. 28, no. 7, pp. 792–808, 2013.
Scaled Gradient Projection (SGP) algorithm with beta divergence
Image denoising with pytorch NAFNet model, FID300 dataset
Generate Images, Upscale Images, Fix Faces and Replace background using custom Stable DIffusion Models
[TIM 2023] Multi-scale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration
The official PyTorch implementation for CascadedGaze: Efficiency in Global Context Extraction for Image Restoration, TMLR'24.
Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!
About me
Material from the course of Image Processing at ENSEM - Université de Lorraine.
[ICCV23] Focal Network for Image Restoration
[ICCV2023 Official PyTorch code] for Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
Repository for Digital Image Processing homework
Digital Image Processing - Image Processing using Python
A re-implementaion of Professor Stanley Chan's Plug and Play ADMM Paper created for Professor Qi Guo's machine learning class at Purdue University
POSTECH Institute of Artificial Intelligence Intern Program
Image restoration is the idea of recovering an original image from a degraded image, knowing the process of degradation beforehand. The recovered image is called the restored image. In this project, we degrade an image with a horizontal motion and then by different methods try to restore the image.
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