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.

11Projects
107.1KStars in total
+136Stars in a day

Hot right now

Most stars gained in a day · Oct 19

The all-time top

11 projects · by stars

  1. #1 · Robbyant/lingbot-map

    lingbot-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.

    18.2K
  2. #2 · cvat-ai/cvat

    cvat

    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.

    17K
  3. #3 · facebookresearch/vggt

    vggt

    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.

    14.5K
  1. 4

    nerfstudio

    12.1Knerfstudio-project/nerfstudio · Python

    Nerfstudio 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.

  2. 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.

  3. 6

    X-AnyLabeling

    10.7KCVHub520/X-AnyLabeling · Python

    A 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.

  4. 7

    3D-Machine-Learning

    10.2Ktimzhang642/3D-Machine-Learning

    A curated knowledge base for 3D machine learning that collects courses, datasets, and research papers covering 3D representations like point clouds, meshes, voxels and primitives.

  5. 8

    Depth-Anything-3

    6.5KByteDance-Seed/Depth-Anything-3 · Python

    Depth 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.

  6. 9

    vggt-omega

    4.7Kfacebookresearch/vggt-omega · Python

    VGGT-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.

  7. 10

    RustGIS

    1.7Kopengeos/RustGIS · Rust

    RustGIS is a free, open-source GIS application written entirely in Rust for mapping, analyzing and sharing geospatial data.

  8. 11

    flex-pi

    225geyan21/flex-pi · Python

    Flex-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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