DUSt3R: Geometric 3D Vision Made Easy

A C++ Implementation of Yang's ECCV 2018 paper DVSO (Deep Virtual Stereo Odometry)

📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

Master programming by recreating your favorite technologies from scratch.

Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)

Point cloud diffusion for 3D model synthesis

HybVIO visual-inertial odometry and SLAM system

Source code for the ECCV 2022 paper "Benchmarking Localization and Mapping for Augmented Reality".

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV 2022.

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Aria data tools provide the open-source toolkit in C++ and Python to interact with data from Project Aria

Solve puzzles. Improve your pytorch.

KinectFusion implemented in Python with PyTorch

The public CGAL repository, see the README below

Examples of how to create colorful, annotated equations in Latex using Tikz.

Instant neural graphics primitives: lightning fast NeRF and more

Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork

Plenoxels: Radiance Fields without Neural Networks

DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

The full minitorch student suite.

A library for differentiable nonlinear optimization

[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

Meaningful titles for tabs and PDF downloads! Also supports tab search.

Some useful scripts simplifying bureaucracy