5 papers
IDU: Incremental Dynamic Update of Existing 3D Virtual Environments with New Imagery Data
Meida Chen, Luis Leal, Yue Hu +5
For simulation and training purposes, military organizations have made substantial investments in developing high-resolution 3D virtual environments through extensive imaging and 3…
Splat Feature Solver
Butian Xiong, Rong Liu, Kenneth Xu +2
Feature lifting has emerged as a crucial component in 3D scene understanding, enabling the attachment of rich image feature descriptors (e.g., DINO, CLIP) onto splat-based 3D repre…
Deformable Beta Splatting
Rong Liu, Dylan Sun, Meida Chen +2
3D Gaussian Splatting (3DGS) has advanced radiance field reconstruction by enabling real-time rendering. However, its reliance on Gaussian kernels for geometry and low-order Spheri…
SplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting
Yue Hu, Rong Liu, Meida Chen +2
Achieving high-fidelity 3D reconstruction from monocular video remains challenging due to the inherent limitations of traditional methods like Structure-from-Motion (SfM) and monoc…
Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework
Jiuyi Xu, Meida Chen, Andrew Feng +2
In the domain of the U.S. Army modeling and simulation, the availability of high quality annotated 3D data is pivotal to creating virtual environments for training and simulations.…