A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
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Updated
Nov 26, 2025 - Python
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Visual localization made easy with hloc
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
🎓Automatically Update CV Papers Daily using Github Actions
Addon to import different photogrammetry formats into Blender
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Visual Imitation Enables Contextual Humanoid Control. CoRL 2025, Best Student Paper Award.
DeMoN: Depth and Motion Network
kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures
Unofficial & improved implementation of NeRF--: Neural Radiance Fields Without Known Camera Parameters
Provide mapping and localization pipelines based on kapture format
Structure-from-Motion from scratch, using Numpy and OpenCV.
Next-generation camera-modeling toolkit
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
An addressable LED 3D mapper
[CVPR 2021] Deep Two-View Structure-from-Motion Revisited
DeepImplementation of the NeurIPS 2025 paper: Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting
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