Ponder: Point Cloud Pre-training via Neural Rendering [self-supervised; Github] You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation [annotation; PyTorch] Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta...
基于此,PointCloud-C对十数种点云识别(分类及部件分割)算法进行了鲁棒性分析。这些算法包括如下三个类别: 网络结构(architecture)类,例如:PointNet[3]、DGCNN[4]、PCT[11]和GDANet[12]等; 自监督预训练(self-supervised pre-training)类,例如:OcCo[13]、PointBERT[14]和PointMAE[15]等; 数据增强(data augmen...
21. SampleNet: Differentiable Point Cloud Sampling 会议:CVPR 2020. 作者:Itai Lang, Asaf Manor, Shai Avidan 链接:https://openaccess.thecvf.com/content_CVPR_2020/papers/Lang_SampleNet_Differentiable_Point_Cloud_Sampling_CVPR_2020_paper.pdf 22. Neural Point Cloud Rendering via Multi-Plane Projection ...
[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies pytorchpointcloud3d-visionpointnet2 UpdatedDec 1, 2023 Shell 3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling javascriptmulti-platformwebannotationtoolinterpolationdetectionpoint-cloudautomaticaut...
Iterative closest point (ICP) is a well-known classical method for this problem, yet it generally achieves high alignment only when the source and template point cloud are mostly pre-aligned. If each point cloud is far away or contains a repeating structure, the registration often fails because...
CloudBusinessApplication CloudConfigurationFile CloudConsole CloudDatabase CloudStáhnout CloudError CloudFile CloudGroup CloudOK CloudPackage CloudRefresh CloudRun CloudServer CloudService CloudServiceBus CloudStaging CloudStagingOK CloudStagingRefresh CloudStagingStopped CloudStopped CloudUpload CloudWarning...
Fast 3D Point Cloud Segmentation Using Deep Neural Network Yunbo Rao,Menghan Zhang,Zhanglin Cheng,Junmin Xue,Jiansu Pu,Zairong Wang 电子科技大学 三等奖 摘要 Accurate segmentation of entity categories is the key step for 3D scene understanding. In this paper, we present a fast deep neural ...
[ICCV] Unsupervised Point Cloud Pre-training via Occlusion Completion.[code] [training] [ICCV] Superpoint Network for Point Cloud Oversegmentation.[code] [Segmentation] [ICCV] SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix. [Representations] [ICCV] Point Cloud ...
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling - WanquanF/NeuralPoints
Remarkably, ESSA achieved significant improvements in both visual quality and quantitative results in experiments, all without the necessity of pretraining on large datasets. 2.2. Point Cloud Super-Resolution Point cloud super-resolution is similar to image super-resolution, employing super-resolution ...