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LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo

LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo

9 September 2018
R. Clark
Michael Bloesch
J. Czarnowski
Stefan Leutenegger
Andrew J. Davison
ArXivPDFHTML

Papers citing "LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo"

22 / 22 papers shown
Title
Revisit Self-supervised Depth Estimation with Local
  Structure-from-Motion
Revisit Self-supervised Depth Estimation with Local Structure-from-Motion
Shengjie Zhu
Xiaoming Liu
MDE
64
1
0
27 Jul 2024
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
41
1
0
26 Sep 2023
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose
  Estimation
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation
Yuta Yoshitake
Mai Nishimura
S. Nobuhara
Ko Nishino
ViT
41
2
0
23 Mar 2023
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging
Heng Li
Zhaopeng Cui
Shuaicheng Liu
Ping Tan
32
15
0
14 Dec 2022
Theseus: A Library for Differentiable Nonlinear Optimization
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
...
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
52
77
0
19 Jul 2022
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
RL-PGO: Reinforcement Learning-based Planar Pose-Graph Optimization
Nikolaos Kourtzanidis
Sajad Saeedi
66
2
0
26 Feb 2022
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in
  Dynamic Environments
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer
Oliver Lange
Christoph Schnörr
MDE
22
3
0
21 Jan 2022
Learning to Fit Morphable Models
Learning to Fit Morphable Models
Vasileios Choutas
Federica Bogo
Jingjing Shen
Julien P. C. Valentin
3DH
24
18
0
29 Nov 2021
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed
Jia Deng
MDE
VLM
42
577
0
24 Aug 2021
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Philipp Lindenberger
Paul-Edouard Sarlin
Viktor Larsson
Marc Pollefeys
3DV
36
194
0
18 Aug 2021
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
VOLDOR: Visual Odometry from Log-logistic Dense Optical flow Residuals
Zhixiang Min
Yiding Yang
Enrique Dunn
41
36
0
14 Apr 2021
Back to the Feature: Learning Robust Camera Localization from Pixels to
  Pose
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
Paul-Edouard Sarlin
Ajaykumar Unagar
Maans Larsson
Hugo Germain
Carl Toft
...
Marc Pollefeys
Vincent Lepetit
Lars Hammarstrand
Fredrik Kahl
Torsten Sattler
SSL
3DPC
38
242
0
16 Mar 2021
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
DUT: Learning Video Stabilization by Simply Watching Unstable Videos
Yufei Xu
Jing Zhang
Stephen J. Maybank
Dacheng Tao
25
42
0
30 Nov 2020
Deep Visual Odometry with Adaptive Memory
Deep Visual Odometry with Adaptive Memory
Fei Xue
Xin Wang
Junqiu Wang
H. Zha
25
14
0
02 Aug 2020
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning
  with Uncertainty
A Smooth Representation of Belief over SO(3) for Deep Rotation Learning with Uncertainty
Valentin Peretroukhin
Matthew Giamou
David M. Rosen
W. N. Greene
Nicholas Roy
Jonathan Kelly
32
42
0
01 Jun 2020
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation
  and Gauss-Newton Refinement
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu
Shenghua Gao
3DV
43
218
0
29 Mar 2020
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
J. Czarnowski
Tristan Laidlow
R. Clark
Andrew J. Davison
MDE
55
174
0
14 Jan 2020
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
DeepSFM: Structure From Motion Via Deep Bundle Adjustment
Xingkui Wei
Yinda Zhang
Zhuwen Li
Yanwei Fu
Xiangyang Xue
3DV
19
97
0
20 Dec 2019
FlowNorm: A Learning-based Method for Increasing Convergence Range of
  Direct Alignment
FlowNorm: A Learning-based Method for Increasing Convergence Range of Direct Alignment
Ke Wang
Kaixuan Wang
Shaojie Shen
22
4
0
16 Oct 2019
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion
X-Section: Cross-Section Prediction for Enhanced RGBD Fusion
Andrea Nicastro
R. Clark
Stefan Leutenegger
3DPC
26
13
0
03 Mar 2019
Taking a Deeper Look at the Inverse Compositional Algorithm
Taking a Deeper Look at the Inverse Compositional Algorithm
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
3DV
19
48
0
17 Dec 2018
BA-Net: Dense Bundle Adjustment Network
BA-Net: Dense Bundle Adjustment Network
Chengzhou Tang
P. Tan
3DV
34
287
0
13 Jun 2018
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