activity
20242026
most citedSplatMAP: Online Dense Monocular SLAM with 3D Gaussian Splatting

4 citations · 6 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2026

LTM: Large-scale Terrain Model for Wildfire-prone Landscapes

Xiao Fu, Yue Hu, Meida Chen +2

Accurate 3D terrain maps are essential for emergency response when assessing wildfire hazards. However, wildfire-prone regions often span vast areas where conventional reconstructi…

cs.CV2026

NanoGS: Training-Free Gaussian Splat Simplification

Butian Xiong, Rong Liu, Tiantian Zhou +3

3D Gaussian Splat (3DGS) enables high-fidelity, real-time novel view synthesis by representing scenes with large sets of anisotropic primitives, but often requires millions of Spla…

cs.GR2025

Universal Beta Splatting

Rong Liu, Zhongpai Gao, Benjamin Planche +8

We introduce Universal Beta Splatting (UBS), a unified framework that generalizes 3D Gaussian Splatting to N-dimensional anisotropic Beta kernels for explicit radiance field render…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025★ 4 cited

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…

cs.CV2024

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.…

cs.CV2024★ 2 cited

AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field

Rong Liu, Rui Xu, Yue Hu +2

3D Gaussian Splatting (3DGS) has recently advanced radiance field reconstruction by offering superior capabilities for novel view synthesis and real-time rendering speed. However,…