ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.01656
  4. Cited By
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense
  Mapping

GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping

3 May 2022
Pan Ji
Qingan Yan
Yuxin Ma
Yi Tian Xu
    MDE
ArXiv (abs)PDFHTML

Papers citing "GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping"

50 / 61 papers shown
Title
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo
Jiacheng Liu
Pan Ji
Nitin Bansal
Changjiang Cai
Qingan Yan
Xiaolei Huang
Yi Tian Xu
3DV
110
39
0
22 Mar 2022
Multi-View Depth Estimation by Fusing Single-View Depth Probability with
  Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Gwangbin Bae
Ignas Budvytis
R. Cipolla
3DV
87
64
0
15 Dec 2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view
  Stereo
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
Lukas Koestler
Nan Yang
Niclas Zeller
Daniel Cremers
MDE
94
68
0
14 Nov 2021
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for
  Consistent Self-Supervised Monocular Depth Estimation
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Patrick Ruhkamp
Daoyi Gao
Hanzhi Chen
Nassir Navab
Benjamin Busam
ViTMDE
97
37
0
15 Oct 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
MDEVLM
125
598
0
24 Aug 2021
Consistent Depth of Moving Objects in Video
Consistent Depth of Moving Objects in Video
Zhoutong Zhang
Forrester Cole
Richard Tucker
William T. Freeman
Tali Dekel
MDE
58
59
0
02 Aug 2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth
  Estimation for Indoor Environments
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Pan Ji
Runze Li
B. Bhanu
Yi Tian Xu
MDE
106
69
0
26 Jul 2021
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene
  Representations
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations
H. Matsuki
Raluca Scona
J. Czarnowski
Andrew J. Davison
3DGS
72
47
0
19 Jul 2021
Generalizing to the Open World: Deep Visual Odometry with Online
  Adaptation
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation
Shunkai Li
Xin Wu
Yingdian Cao
H. Zha
63
43
0
29 Mar 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViTMDE
138
1,746
0
24 Mar 2021
Robust Consistent Video Depth Estimation
Robust Consistent Video Depth Estimation
Johannes Kopf
Xuejian Rong
Jia-Bin Huang
MDE
158
168
0
10 Dec 2020
Deep Learning based Monocular Depth Prediction: Datasets, Methods and
  Applications
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications
Qing Li
Jiasong Zhu
Jun Liu
Rui Cao
Qingquan Li
Sen Jia
Guoping Qiu
3DHMDE
68
10
0
09 Nov 2020
Self-Supervised Learning for Monocular Depth Estimation from Aerial
  Imagery
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
M. Hermann
Boitumelo Ruf
M. Weinmann
Stefan Hinz
SSLMDE
121
11
0
17 Aug 2020
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial
  and Multi-Map SLAM
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
C. Campos
Richard Elvira
J. Rodríguez
José M.M. Montiel
Juan D. Tardós
80
2,874
0
23 Jul 2020
Learning Monocular Visual Odometry via Self-Supervised Long-Term
  Modeling
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Yuliang Zou
Pan Ji
Quoc-Huy Tran
Jia-Bin Huang
Manmohan Chandraker
SSL
111
68
0
21 Jul 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu
Kun Yu
Zhixiang Duan
Kuiyuan Yang
SSLMDE
77
234
0
21 Jul 2020
Consistent Video Depth Estimation
Consistent Video Depth Estimation
Xuan Luo
Jia-Bin Huang
Richard Szeliski
Kevin Blackburn-Matzen
Johannes Kopf
3DVMDE
76
337
0
30 Apr 2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Lokender Tiwari
Pan Ji
Quoc-Huy Tran
Bingbing Zhuang
Saket Anand
Manmohan Chandraker
MDE
57
64
0
22 Apr 2020
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Wang Zhao
Shaohui Liu
Yezhi Shu
Yong Liu
MDE
74
156
0
03 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
244
2,625
0
26 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
83
378
0
02 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
90
177
0
14 Jan 2020
Self-Supervised Monocular Depth Hints
Self-Supervised Monocular Depth Hints
Jamie Watson
Michael Firman
Gabriel J. Brostow
Daniyar Turmukhambetov
SSLMDE
88
251
0
19 Sep 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from
  Monocular Video
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian
Zhichao Li
Naiyan Wang
Huangying Zhan
Chunhua Shen
Ming-Ming Cheng
Ian Reid
MDE
75
511
0
28 Aug 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot
  Cross-dataset Transfer
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
René Ranftl
Katrin Lasinger
David Hafner
Konrad Schindler
V. Koltun
MDE
204
1,793
0
02 Jul 2019
Learning the Depths of Moving People by Watching Frozen People
Learning the Depths of Moving People by Watching Frozen People
Zhengqi Li
Tali Dekel
Forrester Cole
Richard Tucker
Noah Snavely
Ce Liu
William T. Freeman
MDE3DH
123
242
0
25 Apr 2019
Recurrent Neural Network for (Un-)supervised Learning of Monocular
  VideoVisual Odometry and Depth
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang
Stephen M. Pizer
Jan-Michael Frahm
MDE
59
177
0
15 Apr 2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning
  from Unknown Cameras
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
A. Gordon
Hanhan Li
Rico Jonschkowski
A. Angelova
MDE
70
365
0
10 Apr 2019
Learning monocular depth estimation infusing traditional stereo
  knowledge
Learning monocular depth estimation infusing traditional stereo knowledge
Fabio Tosi
Filippo Aleotti
Matteo Poggi
S. Mattoccia
MDE
58
218
0
08 Apr 2019
DeepV2D: Video to Depth with Differentiable Structure from Motion
DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed
Jia Deng
3DVVGenMDE
71
248
0
11 Dec 2018
Depth Prediction Without the Sensors: Leveraging Structure for
  Unsupervised Learning from Monocular Videos
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser
Soren Pirk
R. Mahjourian
A. Angelova
SSLMDE
86
470
0
15 Nov 2018
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D
  Holistic Understanding
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo
Zhenheng Yang
Peng Wang
Yanjie Wang
Wenyuan Xu
Ram Nevatia
Alan Yuille
3DPC
50
289
0
14 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Andrei Ambrus
Adrien Gaidon
SupRMDE
70
220
0
03 Oct 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
63
475
0
05 Sep 2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
71
207
0
20 Aug 2018
DeepTAM: Deep Tracking and Mapping
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou
Benjamin Ummenhofer
Thomas Brox
3DV
77
228
0
06 Aug 2018
Learning monocular depth estimation with unsupervised trinocular
  assumptions
Learning monocular depth estimation with unsupervised trinocular assumptions
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
57
152
0
05 Aug 2018
Direct Sparse Odometry with Rolling Shutter
Direct Sparse Odometry with Rolling Shutter
David Schubert
Nikolaus Demmel
V. Usenko
J. Stückler
Daniel Cremers
50
37
0
01 Aug 2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for
  Monocular Direct Sparse Odometry
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Nan Yang
Rui Wang
J. Stückler
Daniel Cremers
MDE
65
340
0
06 Jul 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
484
1,731
0
06 Jun 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera
  Motion, Optical Flow and Motion Segmentation
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Anurag Ranjan
Varun Jampani
Lukas Balles
Kihwan Kim
Deqing Sun
Jonas Wulff
Michael J. Black
SSL
58
591
0
24 May 2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense
  Visual SLAM
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
Michael Bloesch
J. Czarnowski
R. Clark
Stefan Leutenegger
Andrew J. Davison
MDE3DH
71
373
0
03 Apr 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE3DV
109
1,020
0
02 Apr 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
54
1,143
0
06 Mar 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
99
729
0
15 Feb 2018
Learning Depth from Monocular Videos using Direct Methods
Learning Depth from Monocular Videos using Direct Methods
Chaoyang Wang
J. M. Buenaposada
Rui Zhu
Simon Lucey
MDE
93
581
0
01 Dec 2017
Unsupervised Learning of Geometry with Edge-aware Depth-Normal
  Consistency
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang
Peng Wang
Wenyuan Xu
Liang Zhao
Ram Nevatia
3DVMDE
64
155
0
10 Nov 2017
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
MDE
79
512
0
20 Sep 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
132
2,575
0
25 Apr 2017
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
Keisuke Tateno
Federico Tombari
Iro Laina
Nassir Navab
MDE
84
684
0
11 Apr 2017
12
Next