Photogrammetric Computer Vision Framework

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

3D Reconstruction Software

Collection of 250+ datasets for photogrammetry

Bundler Structure from Motion Toolkit

🔥PCL（Point Cloud Library）点云库学习记录

[CVPR'17] Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

Python Wrapper for MeshFix: easily repair holes in PyVista surface meshes

Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"

[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

User-friendly, commercial-grade software for processing aerial imagery. 🛩

Implicit Geometric Regularization for Learning Shapes

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Blender importer of meshroom datafiles: cameras, images, sparse pointcloud and obj's.

Dense 3D reconstruction from stereo (using LIBELAS)

As a part of HAKE project (HAKE-3D). Code for our CVPR2020 paper "Detailed 2D-3D Joint Representation for Human-Object Interaction".

real-time 3D reconstruction of non-rigidly deforming scenes using depth data

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

A list of resources about deep learning solutions on 3D shape processing