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CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM

CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

3 April 2018
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
    MDE
    3DH
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Papers citing "CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM"

13 / 63 papers shown
Title
RoutedFusion: Learning Real-time Depth Map Fusion
RoutedFusion: Learning Real-time Depth Map Fusion
Silvan Weder
Johannes L. Schonberger
Marc Pollefeys
Martin R. Oswald
19
78
0
13 Jan 2020
Meshlet Priors for 3D Mesh Reconstruction
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki
Orazio Gallo
Jan Kautz
P. Sen
21
45
0
06 Jan 2020
Scene-Aware Audio Rendering via Deep Acoustic Analysis
Scene-Aware Audio Rendering via Deep Acoustic Analysis
Zhenyu Tang
Nicholas J. Bryan
Dingzeyu Li
Timothy R. Langlois
Tianyi Zhou
25
40
0
14 Nov 2019
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
FutureMapping 2: Gaussian Belief Propagation for Spatial AI
Andrew J. Davison
Joseph Ortiz
12
43
0
30 Oct 2019
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
21
17
0
31 Jul 2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen
Stefano Rosa
Yishu Miao
Chris Xiaoxuan Lu
Wei Yu Wu
Andrew Markham
A. Trigoni
16
132
0
04 Mar 2019
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
GCNv2: Efficient Correspondence Prediction for Real-Time SLAM
Jiexiong Tang
Ludvig Ericson
John Folkesson
Patric Jensfelt
3DPC
3DV
16
148
0
28 Feb 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
21
3,612
0
16 Jan 2019
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Ambrus
Adrien Gaidon
SupR
MDE
8
216
0
03 Oct 2018
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using
  Single-Image Depth Prediction
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction
S. Loo
A. Amiri
S. Mashohor
S. Tang
Hong Zhang
12
87
0
01 Oct 2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
R. Clark
Michael Bloesch
J. Czarnowski
Stefan Leutenegger
Andrew J. Davison
8
80
0
09 Sep 2018
Learning models for visual 3D localization with implicit mapping
Learning models for visual 3D localization with implicit mapping
Dan Rosenbaum
F. Besse
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
20
30
0
04 Jul 2018
FutureMapping: The Computational Structure of Spatial AI Systems
FutureMapping: The Computational Structure of Spatial AI Systems
Andrew J. Davison
21
70
0
29 Mar 2018
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