2025.06.18 - #39 - UFM, Pow3r, OpenGS-SLAM, DGN #41
Description
Interesting papers
UFM: A Simple Path towards Unified Dense Correspondence with Flow
- https://github.com/UniFlowMatch/UFM
- https://uniflowmatch.github.io
- A simple, generic transformer architecture that directly regresses the (u, v) flow
- UFM is 28% more accurate than state-of-the-art flow methods (Unimatch), while also having 62% less error
and 6.7x faster than dense wide-baseline matchers (RoMa)
Pow3r
- NAVER LABS
- https://github.com/naver/pow3r
- 기존의 DUSt3r는 RGB 이미지만 받을 수 있다면,
- Pow3r는 intrinsics, relative pose, dense or sparse depth, extra input images 등등 추가 정보가 있다면 선택적으로 제공 가능.
- Native image resolution 3D reconstruction 가능.
OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding
- https://github.com/YOUNG-bit/open_semantic_slam
- https://young-bit.github.io/opengs-github.github.io/
- 3D Gaussian representation to perform dense semantic SLAM in open-set environments
