1 citations · 1 across the 5 of their papers we have counts for
5 papers
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
Saining Zhang, Baijun Ye, Xiaoxue Chen +5
Robust and realistic rendering for large-scale road scenes is essential in autonomous driving simulation. Recently, 3D Gaussian Splatting (3D-GS) has made groundbreaking progress i…
Camera Relocalization in Shadow-free Neural Radiance Fields
Shiyao Xu, Caiyun Liu, Yuantao Chen +5
Camera relocalization is a crucial problem in computer vision and robotics. Recent advancements in neural radiance fields (NeRFs) have shown promise in synthesizing photo-realistic…
Blending Distributed NeRFs with Tri-stage Robust Pose Optimization
Baijun Ye, Caiyun Liu, Xiaoyu Ye +6
Due to the limited model capacity, leveraging distributed Neural Radiance Fields (NeRFs) for modeling extensive urban environments has become a necessity. However, current distribu…
Spectrally Pruned Gaussian Fields with Neural Compensation
Runyi Yang, Zhenxin Zhu, Zhou Jiang +6
Recently, 3D Gaussian Splatting, as a novel 3D representation, has garnered attention for its fast rendering speed and high rendering quality. However, this comes with high memory…
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…