MoonshotAI
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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 仓库情报摘要
FR-AI / ANALYSIS为什么值得关注
它提供了全面、组织良好的一站式参考资料，跟踪该领域的最新研究动态，对于快速发展的多模态修复领域的研究者和从业者极具价值。
适合谁使用
- 计算机视觉研究人员
- 从事图像修复的机器学习工程师
- 多模态处理方向的博士生和学者
- 构建实际修复系统的开发者
典型使用场景
- 引导图像修复主题的文献调研
- 查找特定任务（如深度或热成像超分辨率）的基准数据集
- 寻找开源代码以复现或二次开发
- 跟踪去噪、去模糊、增强等任务的最新方法
项目优势
- 详细分类涵盖超分辨率、去噪、去模糊、去雾、修复和低光增强等任务
- 许多论文附有代码链接
- 包含合成与真实世界数据集
- 持续维护并接受社区贡献
使用前须知
- 不提供定量比较或基准结果
- 部分论文缺少代码链接
- 可能未完全覆盖所有子领域
README 快速开始
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 |
项目描述
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。
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