Showing 4 open source projects for "colmap"

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  • 1
    COLMAP

    COLMAP

    Structure-from-Motion and Multi-View Stereo

    COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for the reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license.
    Downloads: 30 This Week
    Last Update:
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  • 2
    3D Gaussian Splatting

    3D Gaussian Splatting

    Original reference implementation of "3D Gaussian Splatting"

    ...The project is widely used in computer graphics, spatial capture, virtual production, research, and experimental 3D reconstruction workflows. It relies on image-based reconstruction pipelines such as COLMAP to estimate camera positions before optimizing the Gaussian representation. Overall, Gaussian Splatting has become a foundational reference implementation for modern real-time radiance field rendering.
    Downloads: 9 This Week
    Last Update:
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  • 3
    VGGSfM

    VGGSfM

    VGGSfM: Visual Geometry Grounded Deep Structure From Motion

    ...The system combines learned feature matching and geometric optimization to generate high-quality camera calibrations, sparse/dense point clouds, and depth maps in standard COLMAP format. Version 2.0 adds support for dynamic scene handling, dense point cloud export, video-based reconstruction (1000+ frames), and integration with Gaussian Splatting pipelines. It leverages tools like PyCOLMAP, poselib, LightGlue, and PyTorch3D for feature matching, pose estimation, and visualization. With minimal configuration, users can process single scenes or full video sequences, apply motion masks to exclude moving objects, and train neural radiance or splatting models directly from reconstructed outputs.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Map-Anything

    Map-Anything

    MapAnything: Universal Feed-Forward Metric 3D Reconstruction

    Map-Anything is a universal, feed-forward transformer for metric 3D reconstruction that predicts a scene’s geometry and camera parameters directly from visual inputs. Instead of stitching together many task-specific models, it uses a single architecture that supports a wide range of 3D tasks—multi-image structure-from-motion, multi-view stereo, monocular metric depth, registration, depth completion, and more. The model flexibly accepts different input combinations (images, intrinsics, poses,...
    Downloads: 3 This Week
    Last Update:
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