Topics / #point-cloud
Point-cloud projects on GitHub
3D collections of points representing object surfaces for vision and graphics.
As of , the most-starred Point-cloud projects on GitHub are lingbot-map (18.2K stars), cvat (17K stars) and vggt (14.5K stars). GitHub.Locker tracks 11 Point-cloud repositories with 107.1K stars combined. The fastest-growing on October 19 was RustGIS, with +77 stars in a day.
Hot right now
Most stars gained in a day · Oct 19
RustGIS
opengeos/RustGIS · ★ 1.7KRustGIS is a free, open-source GIS application written entirely in Rust for mapping, analyzing and sharing geospatial data.
+14Depth-Anything-3
ByteDance-Seed/Depth-Anything-3 · ★ 6.5KDepth Anything 3 (DA3) is a foundation model from ByteDance Seed that predicts spatially consistent geometry — depth, camera poses, even 3D Gaussians — from arbitrary visual inputs, with or without known camera poses.
+12lingbot-map
Robbyant/lingbot-map · ★ 18.2KLingBot-Map is a feed-forward 3D foundation model for streaming 3D reconstruction, built around a Geometric Context Transformer that was a ECCV 2026 Best Paper Award candidate.
+9cvat
cvat-ai/cvat · ★ 17KCVAT is an open-source, self-hosted data annotation platform for building labeled datasets from images, video, and 3D point clouds, used for computer vision and visual AI projects.
The all-time top
11 projects · by stars
- 18.2K
#1 · Robbyant/lingbot-maplingbot-map
LingBot-Map is a feed-forward 3D foundation model for streaming 3D reconstruction, built around a Geometric Context Transformer that was a ECCV 2026 Best Paper Award candidate.
- 17K
#2 · cvat-ai/cvatcvat
CVAT is an open-source, self-hosted data annotation platform for building labeled datasets from images, video, and 3D point clouds, used for computer vision and visual AI projects.
- 14.5K
#3 · facebookresearch/vggtvggt
VGGT (Visual Geometry Grounded Transformer) is a feed-forward neural network that directly infers a scene's 3D attributes - camera intrinsics/extrinsics, depth maps, point maps, and 3D point tracks - from one, a few, or hundreds of images, in seconds. It won the CVPR 2025 Best Paper Award.
- 4

nerfstudio
12.1Knerfstudio-project/nerfstudio · PythonNerfstudio is an open-source toolkit for creating, training, and testing Neural Radiance Fields (NeRFs), with a simple API that breaks each NeRF component into modular, swappable pieces.
- 5

pcl
11.2KPointCloudLibrary/pcl · C++PCL (Point Cloud Library) is a standalone, large-scale open source project for 2D/3D image and point cloud processing, covering things like filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.
- 6

X-AnyLabeling
10.7KCVHub520/X-AnyLabeling · PythonA free cross-platform desktop app for AI-assisted annotation of text, image, video, and multimodal data — manual labeling tools plus built-in deep learning models that pre-label or batch-annotate, with multi-format export.
- 7

3D-Machine-Learning
10.2Ktimzhang642/3D-Machine-LearningA curated knowledge base for 3D machine learning that collects courses, datasets, and research papers covering 3D representations like point clouds, meshes, voxels and primitives.
- 8

Depth-Anything-3
6.5KByteDance-Seed/Depth-Anything-3 · PythonDepth Anything 3 (DA3) is a foundation model from ByteDance Seed that predicts spatially consistent geometry — depth, camera poses, even 3D Gaussians — from arbitrary visual inputs, with or without known camera poses.
- 9

vggt-omega
4.7Kfacebookresearch/vggt-omega · PythonVGGT-Omega is a research model from Visual Geometry Group (Oxford) and Meta AI that reconstructs 3D geometry, camera poses, and depth from a set of images or a video, producing a point cloud and camera predictions.
- 10
RustGIS
1.7Kopengeos/RustGIS · RustRustGIS is a free, open-source GIS application written entirely in Rust for mapping, analyzing and sharing geospatial data.
- 11

flex-pi
225geyan21/flex-pi · PythonFlex-π is a 6B-parameter world-action model for robot manipulation that jointly predicts future RGB, 3D pointmaps, DINOv3 semantics, and actions from one checkpoint, so it can deploy as a VLA, a full world model, or anything in between.
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