3d-reconstruction

Node-based Visual Programming Toolbox

A collaboration friendly studio for NeRFs

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Open source Structure-from-Motion pipeline

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A procedural Blender pipeline for photorealistic training image generation

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

[NeurIPS 2025] PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers

Ray tracing and hybrid rasterization of Gaussian particles

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

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

A Unified Framework for Surface Reconstruction

🌍 WorldGen - Generate Any 3D Scene in Seconds

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

4DHumans: Reconstructing and Tracking Humans with Transformers

[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM

Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.

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