Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction

16 November 2017

Papers citing "Learning Deeply Supervised Good Features to Match for Dense Monocular Reconstruction"

3 / 3 papers shown

Title
Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation Xingrui Yang Hai Li Hongjia Zhai Yuhang Ming Yuqian Liu Guofeng Zhang 177 170 0 28 Oct 2022
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning Jaime Spencer Richard Bowden Simon Hadfield MDE SSL 35 93 0 30 Mar 2020
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras Raul Mur-Artal Juan D. Tardós 204 5,377 0 20 Oct 2016