9 papers
ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting
Wenhao Hu, Haonan Zhou, Liu Liu +5
Reconstructing dynamic and interactive 3D scenes from real-world observations remains a fundamental challenge in computer vision and robotics. While recent advances in 3D Gaussian…
MeMix: Writing Less, Remembering More for Streaming 3D Reconstruction
Jiacheng Dong, Huan Li, Sicheng Zhou +3
Reconstruction is a fundamental task in 3D vision and a fundamental capability for spatial intelligence. Particularly, streaming 3D reconstruction is central to real-time spatial p…
Hand3R: Online 4D Hand-Scene Reconstruction in the Wild
Wendi Hu, Haonan Zhou, Wenhao Hu +1
For Embodied AI, jointly reconstructing dynamic hands and the dense scene context is crucial for understanding physical interaction. However, most existing methods recover isolated…
RecurGS: Interactive Scene Modeling via Discrete-State Recurrent Gaussian Fusion
Wenhao Hu, Haonan Zhou, Zesheng Li +4
Recent advances in 3D scene representations have enabled high-fidelity novel view synthesis, yet adapting to discrete scene changes and constructing interactive 3D environments rem…
IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
Wenhao Hu, Zesheng Li, Haonan Zhou +5
Reconstructing complete and interactive 3D scenes remains a fundamental challenge in computer vision and robotics, particularly due to persistent object occlusions and limited sens…
DSG-World: Learning a 3D Gaussian World Model from Dual State Videos
Wenhao Hu, Xuexiang Wen, Xi Li +1
Building an efficient and physically consistent world model from limited observations is a long standing challenge in vision and robotics. Many existing world modeling pipelines ar…