1,165 skills found · Page 1 of 39
google / DracoDraco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
openai / Point EPoint cloud diffusion for 3D model synthesis
OpenDroneMap / ODMA command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
zhulf0804 / 3D PointCloudPapers and Datasets about Point Cloud.
google-research-datasets / ObjectronObjectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
nmwsharp / PolyscopeA C++ & Python viewer for 3D data like meshes and point clouds
sshaoshuai / PointRCNNPointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
facebookresearch / VotenetDeep Hough Voting for 3D Object Detection in Point Clouds
QingyongHu / SoTA Point Cloud🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
fwilliams / Point Cloud UtilsAn easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
koide3 / GlimGLIM: versatile and extensible point cloud-based 3D localization and mapping framework
daavoo / Pyntcloudpyntcloud is a Python library for working with 3D point clouds.
maudzung / Complex YOLOv4 PytorchThe PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
xtreme1-io / Xtreme1Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
maudzung / SFA3DSuper Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
naurril / SUSTechPOINTS3D Point Cloud Annotation Platform for Autonomous Driving
andyzeng / 3dmatch Toolbox3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
carlosmccosta / Dynamic Robot LocalizationPoint cloud registration pipeline for robot localization and 3D perception
stevenygd / PointFlowPointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
vinits5 / Learning3dThis is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
