BriefGPT.xyz
Jun, 2021
通过解耦精细化的方式进行点云上采样
Point Cloud Upsampling via Disentangled Refinement
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Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu
TL;DR
该研究针对 3D 扫描时获得的稀疏、非均匀和嘈杂点云,提出了一种基于多目标的两级级联网络,包括稠密生成器和空间细化器,能够生成密集的均匀点集,同时修补小洞并调整每个点的位置,结果表明该方法优于现有技术。
Abstract
point clouds
produced by
3d scanning
are often sparse, non-uniform, and noisy. Recent
upsampling
approaches aim to generate a dense point
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