This repository provides a central location for exploring Guided and Multi-modal Image Restoration (GISIR/MISR). Use this collection to find research papers, code implementations, and datasets. It covers tasks like super-resolution, image enhancement, denoising, and deblurring.
You do not need programming skills to access these resources. This repository acts as a library for information. Follow the steps below to find what you need for your restoration tasks.
To view the full list of papers, datasets, and code, visit the primary access page. You can browse the categories or search by specific restoration task.
The collection divides resources by technical focus. Each section contains links to external research papers and repositories maintained by the original authors.
Because these resources exist as documentation and links, you do not need specific hardware to browse the site. You simply need a modern web browser like Chrome, Firefox, or Edge. If you intend to run the code found within the linked repositories, ensure your computer has a stable internet connection and sufficient disk space for the research datasets you choose to download.
Most code in this collection utilizes Python. If you want to use a specific tool, look for the "README" file on that project's page. The authors usually list the software libraries you must install first. If you face issues, check the "Issues" tab on the specific project page for answers to common questions.
Are these files free? Yes. Most research software is open source. Check the license file in each repository for specific usage rights.
Can I contribute? Yes. You can suggest new papers or code repositories by creating a request on the main page. Follow the project guidelines for submission.
Where do I start? Start with the "Papers" section if you want to understand the theory. Go straight to the "Code" section if you need tools for immediate application.