The backend algorithms and framework associated with DREAM3DNX, a data analysis program for materials science data analytics

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

This project is inspired by the paper "Growing Neural Cellular Automata" found at the link: https://distill.pub/2020/growing-ca/. The project's objective is to develop an extension of the methodology described in this paper to enable the generation of complex structures in three dimensions.

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Making Structure-from-Motion (COLMAP) more robust to symmetries and duplicated structures

Open source Structure-from-Motion pipeline

Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.

"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024)

Official Code and Dataset for "High-fidelity 3D Human Digitization from Single 2K Resolution Images" (CVPR 2023 Highlight)

Demonstration of different algorithms and operations on faces. Star the repo⭐

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Tutorials of deep learning-based 3D computer vision.

nerf novel view synthesis and 3d reconstruction using pytorch lightning

Neural Radiance Field (NeRF) extension for Omniverse

BIM-based 3D multimodal reconstruction for substation qquipment inspection images

Helical Indexing using Layer Lines

This depth estimation model generates a depth map and a downloadable text file containing depth values for a given input image

Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.

Cybervision can generate a 3D model from two photos of an object

A collaboration friendly studio for NeRFs