awesome-virtual-try-on is a curated list that collects research papers, projects, code, datasets, and workshops related to virtual try-on technology.
The project addresses the need for a centralized reference point in the virtual try-on domain, which spans multiple research areas and implementation approaches. Virtual try-on encompasses both 2D image-based methods and 3D approaches, with applications ranging from static images to video and multi-pose scenarios. By aggregating papers, open-source projects, code implementations, and datasets in one place, the list helps researchers and developers navigate the landscape of available resources without having to search across scattered venues and repositories.
Developers should use this list when entering the virtual try-on space to understand what research has been published, what datasets are available for training and evaluation, and what open-source implementations exist. The collection covers the breadth of the field, including 2D virtual try-on, 3D virtual try-on, video-based approaches, and multi-pose-guided methods. This makes it suitable for anyone building fashion technology applications, conducting research in garment simulation, or exploring image-based clothing transfer techniques. The list serves as a starting point for literature review and for identifying existing code and datasets rather than as a tool for performing try-on itself.
The project shows ongoing curation activity with regular updates to include new papers, projects, and resources as they emerge in the virtual try-on research community. Contributions are accepted from the community, indicating active maintenance and a collaborative approach to keeping the collection current and comprehensive.
