1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.GR2025
A Survey of Deep Learning-based Point Cloud Denoising
Jinxi Wang, Ben Fei, Dasith de Silva Edirimuni +3
Accurate 3D geometry acquisition is essential for a wide range of applications, such as computer graphics, autonomous driving, robotics, and augmented reality. However, raw point c…
cs.CV2022★ 1 cited
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering
Shuaijun Chen, Jinxi Wang, Wei Pan +3
As a popular representation of 3D data, point cloud may contain noise and need to be filtered before use. Existing point cloud filtering methods either cannot preserve sharp featur…
cs.CV2021★ 1 cited
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Jinxi Wang, Jincen Jiang, Xuequan Lu +1
Existing position based point cloud filtering methods can hardly preserve sharp geometric features. In this paper, we rethink point cloud filtering from a non-learning non-local no…