#Reconstruction
Showing 23 of 23 repositories tagged #reconstruction, ranked by stars
Open3D: A Modern Library for 3D Data Processing
COLMAP - Structure-from-Motion and Multi-View Stereo
3D Reconstruction for all
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
A lightweight, easy-to-use, and efficient library for processing and rendering 3D data (C++ & Python)
Segment-Anything + 3D. Let's lift anything to 3D.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)
Massively Parallel Multiview Stereopsis by Surface Normal Diffusion
Official Code: 3D Scene Reconstruction from a Single Viewport
A structured light scanner
An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
[CVPR 2026 Oral] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World
[SIGGRAPH Asia 2022] A Neural Galerkin Solver for Accurate Surface Reconstruction
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
3D adaptive binary space partitioning and beyond [JOSS]
A curated list of awesome Single-view 3D Object Reconstruction papers & resources
High-performance TCP reassembly and application layer protocol parsing.
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
A high-performance 3D point cloud and mesh processing library for Rust, with Python bindings.
Promethium is a state-of-the-art, AI-driven framework for seismic signal reconstruction, denoising, and geophysical data enhancement, integrating cutting-edge deep learning architectures with production-grade data engineering.