MoonshotAI
Featured
Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It provides a comprehensive, well-organized, one-stop reference that tracks the latest research and resources, making it invaluable for researchers and practitioners in this rapidly evolving field.
Who it is for
- Computer vision researchers
- Machine learning engineers working on image restoration
- PhD students and academics in multi-modal processing
- Developers building practical restoration systems
Use cases
- Literature survey for guided image restoration topics
- Finding benchmark datasets for specific tasks like depth or thermal super-resolution
- Discovering open-source code to reproduce or build upon
- Tracking state-of-the-art methods across tasks like denoising, deblurring, and enhancement
Strengths
- Extensive categorization covering super-resolution, denoising, deblurring, dehazing, inpainting, and low-light enhancement
- Includes links to code for many papers
- Covers both synthetic and real-world datasets
- Actively maintained and open to contributions
Considerations
- Does not provide quantitative comparisons or benchmarks
- Some papers lack code links
- May not be fully exhaustive for all subfields
README quick start
A curated list of resources for Guided Image Restoration (GISIR) or Multi-modal Image Restoration (MISR). 一个关于 多模态图像修复 精选资源的列表。
⚡️ Note: This project is continuously being updated. Issues are welcome to help improve the list! 😊
📖 Table of Contents / 目录
- 💓 Introduction
- 📄 Papers
- 🌟 Datasets / 数据集
🌟 Introduction / 简介
This repository focuses on collecting resources related to Guided Image Super-Resolution (GISR) or Multi-modal Image Super-Resolution (MISR), including papers, open-source code and datasets. It serves as a one-stop reference for researchers and developers interested in this field.
本仓库专注于收集 多模态图像修复 相关资源，包括论文、开源代码、数据集，为对该领域感兴趣的研究者和开发者提供一站式参考资料。
📄 Papers / 论文
🛠️ All-In-One Guided Image Restoration
| 年份Year | 标题Title | 简称Abbr. | 期刊/会议Published | 代码Code | 关键词Keywords |
|---|---|---|---|---|---|
| 2026 | Task-aware all-in-one guided image super-resolution | MAG-Net | PR | First all-in-one GISR framework, Tex |
Description
A comprehensive collection of resources on Guided/Multi-modal Image Restoration (GISIR/MISR), covering papers, codes, and datasets for super-resolution, enhancement, denoising, and deblurring. A one-stop reference for researchers. 引导/多模态图像修复(GISIR/MISR)领域的资源汇总，涵盖超分辨率、图像增强、去噪、去模糊等任务的论文、代码和数据集，为研究者提供一站式参考。
Related repositories
Similar projects matched by category, topics, and programming language.
xuchonglang
Featured
investing-for-beginners
A structured investing guide for Chinese beginners covering US stocks, options, and cryptocurrency, with focus on foundational concepts and risk awareness.
Krishnagangwal
Featured
CS-Fundamentals
A curated collection of Computer Science fundamentals (PDFs, notes, cheatsheets, interview question banks) for placement preparation, covering seven core subjects plus general resources.