1 citations · 1 across the 4 of their papers we have counts for
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NewtonGS: Physics-Structured Object-Level Neural Newtonian Dynamics for Gaussian Scene Animation
Lianlei Shan, Feiyang Ye, Yan Chen +1
Animating objects in a static 3D Gaussian scene requires an explicit object-level dynamic state and a controllable model of object motion. Existing dynamic Gaussian methods primari…
KV-Efficient VLA: A Method to Speed up Vision Language Models with RNN-Gated Chunked KV Cache
Wanshun Xu, Long Zhuang, Lianlei Shan
Vision-Language-Action (VLA) models offer a unified framework for robotic perception and control, but their ability to scale to real-world, long-horizon tasks is limited by the hig…
NeuroVoxel-LM: Language-Aligned 3D Perception via Dynamic Voxelization and Meta-Embedding
Shiyu Liu, Lianlei Shan
Recent breakthroughs in Visual Language Models (VLMs) and Multimodal Large Language Models (MLLMs) have significantly advanced 3D scene perception towards language-driven cognition…
GDGS: 3D Gaussian Splatting Via Geometry-Guided Initialization And Dynamic Density Control
Xingjun Wang, Lianlei Shan
We propose a method to enhance 3D Gaussian Splatting (3DGS)~\cite{Kerbl2023}, addressing challenges in initialization, optimization, and density control. Gaussian Splatting is an a…