This is a curated collection of research papers on 3D Gaussian Splatting, a technique for novel-view synthesis and 3D scene representation.
The repository addresses the challenge of staying current with rapid developments in 3D Gaussian Splatting research by maintaining an organized, continuously updated compilation of relevant papers. Rather than implementing algorithms itself, the project serves as a reference resource that aggregates published work in this emerging field, making it easier for researchers and practitioners to discover and track advances in the area.
Developers and researchers working on 3D reconstruction, novel-view synthesis, or scene representation should consider this resource if they need a comprehensive overview of the 3D Gaussian Splatting literature. It suits anyone entering the field who wants to understand the landscape of existing approaches, as well as established practitioners seeking to stay informed about new developments. The repository explicitly welcomes discussion and exchange of ideas around the papers it collects.
The project maintains active curation with continuous updates to reflect new publications in the field. Community engagement is encouraged through the invitation for discussion and feedback on the collected papers.
