Towards the Probabilistic Fusion of Learned Priors into Standard
Pipelines for 3D Reconstruction

Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction

27 July 2022

Tristan Laidlow

Andrea Nicastro

Stefan Leutenegger

Papers citing "Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction"

5 / 5 papers shown

Title
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions Tristan Laidlow J. Czarnowski Stefan Leutenegger 3DGS MDE 55 55 0 25 Jul 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments Christian Homeyer Oliver Lange Christoph Schnörr MDE 15 3 0 21 Jan 2022
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 203 1,710 0 06 Jun 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 209 5,377 0 20 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015