A REST API for Structure from Motion (SfM) reconstruction using Hierarchical Localization (hloc) and COLMAP.
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Updated
Jun 27, 2025 - Jupyter Notebook
A REST API for Structure from Motion (SfM) reconstruction using Hierarchical Localization (hloc) and COLMAP.
A library to load scenes for "gausplat"
The implemention of the NeRF architecture from scratch that can be trained using synthetic data for 3D model rendering.
Python CLI/Library to process videos, images, colmap scenes to select the best frames of a 3D capture
This repository contains Python code for image matching, feature detection, and 3D reconstruction using COLMAP, a popular computer vision toolkit.
Cinema 4D Python importer for COLMAP/GLOMAP camera tracking. Builds Redshift-compatible animated cameras, imports sparse point clouds, and configures scene settings for seamless photogrammetry workflows—an alternative to Blender’s photogrammetry importer, adapted for C4D.
Website for Depth Supervised Neural Scene Flow
Senior project with Austin Theriault and Ryan Hudson
The aim of my project was to develop a user-friendly method for generating realistic 3D models and displaying them on smartphones using augmented reality. The only input required from the user is a short video of the desired object, which can be uploaded to the app. This project uses a modified version of Nvidia's Instant-NeRF.
A repo for my Graduate Computer Vision I semester project
This repository contains the code developed for my MSc project titled "Exploring Photogrammetry for High-Fidelity 3D Model Generation: A Power Grid Inspection Study", as well as some of the results. The thesis was written in collaboration with SINTEF, and the degree issued by DTU. The full thesis can be downloaded from the below link.
A Python-based photogrammetry pipeline for 3D reconstruction using COLMAP and Open3D. Features include feature extraction, matching, sparse/dense reconstruction, and texture mapping.
A Python-based Structure from Motion implementation that reconstructs 3D scenes from image sequences. Key features: - SIFT feature detection and matching - Graph-based image selection - Incremental reconstruction - Bundle adjustment optimization - COLMAP/PLY export support Perfect for computer vision researchers and 3D reconstruction enthusiasts.
a streamlined pipeline for converting videos into 3D Gaussian Splatting models
Provides a function to delete image ids from points3D.txt file for COLMAP
Reconstruction 3D image with colmap
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