A curated list of academic resources, datasets, and implementations for image harmonization research.
This project is a comprehensive, community-maintained collection of resources focused on image harmonization—the process of making composite images appear realistic by adjusting visual properties like color, lighting, and texture. It serves as a valuable reference for researchers, developers, and enthusiasts working in computer vision and graphics.
The project emphasizes accessibility and curation, aiming to centralize scattered research materials into a single, well-organized repository to accelerate progress in image harmonization.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.