most citedRepresenting Long Volumetric Video with Temporal Gaussian Hierarchy

25 citations · 25 across the 2 of their papers we have counts for

collaborators

8 papers

cs.CV2025

ERNet: Efficient Non-Rigid Registration Network for Point Sequences

Guangzhao He, Yuxi Xiao, Zhen Xu +2

Registering an object shape to a sequence of point clouds undergoing non-rigid deformation is a long-standing challenge. The key difficulties stem from two factors: (i) the presenc…

cs.RO2025

A Universal Vehicle-Trailer Navigation System with Neural Kinematics and Online Residual Learning

Yanbo Chen, Yunzhe Tan, Yaojia Wang +3

Autonomous navigation of vehicle-trailer systems is crucial in environments like airports, supermarkets, and concert venues, where various types of trailers are needed to navigate…

cs.CV2025

Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models

Yudong Jin, Sida Peng, Xuan Wang +6

This paper addresses the challenge of high-fidelity view synthesis of humans with sparse-view videos as input. Previous methods solve the issue of insufficient observation by lever…

cs.CV2025

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, Hongyu Zhou, Sida Peng +13

Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR…

cs.CV2025

FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction

Yifan Wang, Peishan Yang, Zhen Xu +6

This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…

cs.CV202425 cited

Representing Long Volumetric Video with Temporal Gaussian Hierarchy

Zhen Xu, Yinghao Xu, Zhiyuan Yu +4

This paper aims to address the challenge of reconstructing long volumetric videos from multi-view RGB videos. Recent dynamic view synthesis methods leverage powerful 4D representat…