9 papers · 1 filter
OpenBelief-Nav: Evidence-Preserving Object Memory for Open-Vocabulary Language-Guided Navigation
Dinh Tuan Nguyen, Anh Dao, Phuong Nam Dang +4
Open-vocabulary 3D scene graphs provide compact semantic memory for language-guided navigation, but mapped objects are often exposed through a single fused feature or committed sem…
GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization
Baihan Yang, Tiexin Li, Yuheng Liu +4
Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene editing and embodied interaction. Existing 3DGS-based methods ei…
Score-Regularized Joint Sampling with Importance Weights for Flow Matching
Xinshuang Liu, Runfa Blark Li, Shaoxiu Wei +1
Flow matching models effectively represent complex distributions, yet estimating expectations of functions of their outputs remains challenging under limited sampling budgets. Inde…
Image-Conditioned 3D Gaussian Splat Quantization
Xinshuang Liu, Runfa Blark Li, Keito Suzuki +1
3D Gaussian Splatting (3DGS) has attracted considerable attention for enabling high-quality real-time rendering. Although 3DGS compression methods have been proposed for deployment…
OpenHuman4D: Open-Vocabulary 4D Human Parsing
Keito Suzuki, Bang Du, Runfa Blark Li +5
Understanding dynamic 3D human representation has become increasingly critical in virtual and extended reality applications. However, existing human part segmentation methods are c…
DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes
Runfa Blark Li, Mahdi Shaghaghi, Keito Suzuki +8
Simultaneous Localization and Mapping (SLAM) is one of the most important environment-perception and navigation algorithms for computer vision, robotics, and autonomous cars/drones…
Open-Vocabulary Semantic Part Segmentation of 3D Human
Keito Suzuki, Bang Du, Girish Krishnan +3
3D part segmentation is still an open problem in the field of 3D vision and AR/VR. Due to limited 3D labeled data, traditional supervised segmentation methods fall short in general…
GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian
Bang Du, Runfa Blark Li, Chen Du +1
The reconstruction of 3D objects from calibrated photographs represents a fundamental yet intricate challenge in the domains of computer graphics and vision. Although neural recons…
SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splats
Runfa Blark Li, Keito Suzuki, Bang Du +3
Signed distance-radiance field (SDF-NeRF) is a promising environment representation that offers both photo-realistic rendering and geometric reasoning such as proximity queries for…