5 citations · 6 across the 5 of their papers we have counts for
5 papers
Active Neural Mapping at Scale
Zijia Kuang, Zike Yan, Hao Zhao +2
We introduce a NeRF-based active mapping system that enables efficient and robust exploration of large-scale indoor environments. The key to our approach is the extraction of a gen…
Block-Map-Based Localization in Large-Scale Environment
Yixiao Feng, Zhou Jiang, Yongliang Shi +4
Accurate localization is an essential technology for the flexible navigation of robots in large-scale environments. Both SLAM-based and map-based localization will increase the com…
SA-GS: Scale-Adaptive Gaussian Splatting for Training-Free Anti-Aliasing
Xiaowei Song, Jv Zheng, Shiran Yuan +5
In this paper, we present a Scale-adaptive method for Anti-aliasing Gaussian Splatting (SA-GS). While the state-of-the-art method Mip-Splatting needs modifying the training procedu…
Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
Mingjin Chen, Junhao Chen, Xiaojun Ye +4
3D human body reconstruction has been a challenge in the field of computer vision. Previous methods are often time-consuming and difficult to capture the detailed appearance of the…
FastMAC: Stochastic Spectral Sampling of Correspondence Graph
Yifei Zhang, Hao Zhao, Hongyang Li +1
3D correspondence, i.e., a pair of 3D points, is a fundamental concept in computer vision. A set of 3D correspondences, when equipped with compatibility edges, forms a corresponden…