Tunnel point cloud denoising algorithm based on centerline The noise in the point cloud data of a tunnel affects the accuracy of analysis. Effectively removing the noise data has become the key factor in point clou... X Cheng,D Jia,Y Liu - 《Tongji Daxue Xuebao/journal of Tongji University...
Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in the following environment: PackageVersionComment PyTorch 1.9.0 point_cloud_utils 0.18.0 For evaluation only. It loads meshes to compute point-to...
Score-Based Point Cloud Denoising(Learning Gradient Fields for Point Cloud Denoising)Shitong Luo, Wei Hu *Wangxuan Institute of Computer TechnologyPeking University{luost, forhuwei}@pku.edu.cnAbstractPoint clouds acquired from scanning devices are oftenperturbed by noise, which affects downstream tasks...
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin arXiv 2021. [Paper] 7 Dec 2021 Score-Based Point Cloud Denoising Shitong Luo, Wei Hu ICCV 2021. [Paper] [Github] 23 Jul 2021 3D Shape Genera...
1. A computer-implemented method for generating an image, the method comprising: sampling from a first distribution associated with a score-based generative model to generate a first set of values; performing one or more denoising operations via the score-based generative model to convert the first...
Point Cloud A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion Zhaoyang Lyu, Zhifeng Kong, Xudong Xu, Liang Pan, Dahua Lin arXiv 2021. [Paper] 7 Dec 2021 Score-Based Point Cloud Denoising Shitong Luo, Wei Hu arXiv 2021. [Paper] [Github] 23 Jul 2021 ...