2 citations · 5 across the 11 of their papers we have counts for
5 papers · 1 filter
HiCoM: Hierarchical Coherent Motion for Streamable Dynamic Scene with 3D Gaussian Splatting
Qiankun Gao, Jiarui Meng, Chengxiang Wen +2
The online reconstruction of dynamic scenes from multi-view streaming videos faces significant challenges in training, rendering and storage efficiency. Harnessing superior learnin…
RelayGS: Reconstructing Dynamic Scenes with Large-Scale and Complex Motions via Relay Gaussians
Qiankun Gao, Yanmin Wu, Chengxiang Wen +5
Reconstructing dynamic scenes with large-scale and complex motions remains a significant challenge. Recent techniques like Neural Radiance Fields and 3D Gaussian Splatting (3DGS) h…
InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception
Haijie Li, Yanmin Wu, Jiarui Meng +4
3D scene understanding has become an essential area of research with applications in autonomous driving, robotics, and augmented reality. Recently, 3D Gaussian Splatting (3DGS) has…
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
Yanmin Wu, Jiarui Meng, Haijie Li +8
This paper introduces OpenGaussian, a method based on 3D Gaussian Splatting (3DGS) capable of 3D point-level open vocabulary understanding. Our primary motivation stems from observ…
Mirror-3DGS: Incorporating Mirror Reflections into 3D Gaussian Splatting
Jiarui Meng, Haijie Li, Yanmin Wu +4
3D Gaussian Splatting (3DGS) has significantly advanced 3D scene reconstruction and novel view synthesis. However, like Neural Radiance Fields (NeRF), 3DGS struggles with accuratel…