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. 2012.05901
  4. Cited By
Robust Consistent Video Depth Estimation

Robust Consistent Video Depth Estimation

10 December 2020
Johannes Kopf
Xuejian Rong
Jia-Bin Huang
    MDE
ArXivPDFHTML

Papers citing "Robust Consistent Video Depth Estimation"

50 / 59 papers shown
Title
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
R. Yasarla
Manish Kumar Singh
Hong Cai
Yunxiao Shi
Jisoo Jeong
Yinhao Zhu
Shizhong Han
Risheek Garrepalli
Fatih Porikli
MDE
120
6
0
17 Jan 2025
DELTA: Dense Efficient Long-range 3D Tracking for any video
DELTA: Dense Efficient Long-range 3D Tracking for any video
Tuan Duc Ngo
Peiye Zhuang
Chuang Gan
E. Kalogerakis
Sergey Tulyakov
Hsin-Ying Lee
Chaoyang Wang
103
5
0
31 Oct 2024
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion
Junyi Zhang
Charles Herrmann
Junhwa Hur
Varun Jampani
Trevor Darrell
Forrester Cole
Deqing Sun
Ming-Hsuan Yang
VGen
120
75
0
04 Oct 2024
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation
Mengtan Zhang
Yi Feng
Qijun Chen
Rui Fan
MDE
71
5
0
27 May 2024
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation
Mu Hu
Wei Yin
C. Zhang
Zhipeng Cai
Xiaoxiao Long
Kaixuan Wang
Kaixuan Wang
Gang Yu
Chunhua Shen
Shaojie Shen
3DGS
122
121
0
22 Mar 2024
Unsupervised Monocular Depth Learning in Dynamic Scenes
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li
A. Gordon
Hang Zhao
Vincent Casser
Angelova
MDE
89
135
0
30 Oct 2020
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Weifeng Chen
Shengyi Qian
David Fan
Noriyuki Kojima
Max Hamilton
Jia Deng
3DV
55
61
0
26 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
87
65
0
21 Jul 2020
Consistent Video Depth Estimation
Consistent Video Depth Estimation
Xuan Luo
Jia-Bin Huang
Richard Szeliski
Kevin Blackburn-Matzen
Johannes Kopf
3DV
MDE
42
331
0
30 Apr 2020
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths
  from a Monocular Camera
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
Jae Shin Yoon
Kihwan Kim
Orazio Gallo
H. Park
Jan Kautz
MDE
3DV
36
166
0
02 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
181
2,583
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
57
372
0
02 Mar 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil
Wouter Van Gansbeke
Dengxin Dai
Luc Van Gool
MDE
60
129
0
08 Jan 2020
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
Kevin Karsch
Ce Liu
S. B. Kang
MDE
34
586
0
24 Dec 2019
Self-supervised Object Motion and Depth Estimation from Video
Self-supervised Object Motion and Depth Estimation from Video
Qi Dai
Vaishakh Patil
Simon Hecker
Dengxin Dai
Luc Van Gool
Konrad Schindler
MDE
32
43
0
09 Dec 2019
Normal Assisted Stereo Depth Estimation
Normal Assisted Stereo Depth Estimation
Uday Kusupati
Shuo Cheng
Rui Chen
Hao Su
3DV
31
82
0
24 Nov 2019
gradSLAM: Automagically differentiable SLAM
gradSLAM: Automagically differentiable SLAM
Krishna Murthy Jatavallabhula
Soroush Saryazdi
Ganesh Iyer
Liam Paull
38
57
0
23 Oct 2019
Self-Supervised Monocular Depth Hints
Self-Supervised Monocular Depth Hints
Jamie Watson
Michael Firman
Gabriel J. Brostow
Daniyar Turmukhambetov
SSL
MDE
73
249
0
19 Sep 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
168
1,765
0
02 Jul 2019
DPSNet: End-to-end Deep Plane Sweep Stereo
DPSNet: End-to-end Deep Plane Sweep Stereo
Sunghoon Im
Hae-Gon Jeon
Stephen Lin
In So Kweon
3DV
79
225
0
02 May 2019
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes
Chaoyang Wang
Simon Lucey
Federico Perazzi
Oliver Wang
MDE
3DH
55
112
0
25 Apr 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
MDE
3DH
112
242
0
25 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
49
364
0
10 Apr 2019
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual
  Odometry
Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry
Fei Xue
Xin Wang
Shunkai Li
Qiuyuan Wang
Junqiu Wang
H. Zha
45
99
0
03 Apr 2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu
Liang Feng
Kihwan Kim
S. Narasimhan
Jan Kautz
3DV
46
137
0
09 Jan 2019
DeepV2D: Video to Depth with Differentiable Structure from Motion
DeepV2D: Video to Depth with Differentiable Structure from Motion
Zachary Teed
Jia Deng
3DV
VGen
MDE
46
243
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
SSL
MDE
61
468
0
15 Nov 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
58
472
0
05 Sep 2018
Video-to-Video Synthesis
Video-to-Video Synthesis
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Guilin Liu
Andrew Tao
Jan Kautz
Bryan Catanzaro
GAN
VGen
72
987
0
20 Aug 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
52
206
0
20 Aug 2018
DeepTAM: Deep Tracking and Mapping
DeepTAM: Deep Tracking and Mapping
Huizhong Zhou
Benjamin Ummenhofer
Thomas Brox
3DV
63
227
0
06 Aug 2018
Learning Blind Video Temporal Consistency
Learning Blind Video Temporal Consistency
Wei-Sheng Lai
Jia-Bin Huang
Oliver Wang
Eli Shechtman
Ersin Yumer
Ming-Hsuan Yang
55
363
0
01 Aug 2018
Learning Single-Image Depth from Videos using Quality Assessment
  Networks
Learning Single-Image Depth from Videos using Quality Assessment Networks
Weifeng Chen
Shengyi Qian
Jia Deng
50
67
0
25 Jun 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
256
1,718
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
53
588
0
24 May 2018
MVSNet: Depth Inference for Unstructured Multi-view Stereo
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao
Zixin Luo
Shiwei Li
Tian Fang
Long Quan
MDE
3DV
105
1,207
0
07 Apr 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
MDE
3DH
51
371
0
03 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
71
467
0
02 Apr 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE
3DV
82
1,008
0
02 Apr 2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry
  with Deep Feature Reconstruction
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Huangying Zhan
Ravi Garg
C. Weerasekera
Kejie Li
Harsh Agarwal
Ian Reid
MDE
40
631
0
11 Mar 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
32
1,136
0
06 Mar 2018
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
  Convolutional Neural Networks
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Sen Wang
R. Clark
Hongkai Wen
A. Trigoni
43
779
0
25 Sep 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
51
511
0
20 Sep 2017
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion
  Bias and Rolling Shutter Effect
Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect
Nan Yang
Rui Wang
Xiang Gao
Daniel Cremers
29
111
0
11 May 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
103
2,564
0
25 Apr 2017
SfM-Net: Learning of Structure and Motion from Video
SfM-Net: Learning of Structure and Motion from Video
Sudheendra Vijayanarasimhan
Susanna Ricco
Cordelia Schmid
Rahul Sukthankar
Katerina Fragkiadaki
MDE
63
440
0
25 Apr 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGen
VOS
67
1,193
0
03 Apr 2017
Coherent Online Video Style Transfer
Coherent Online Video Style Transfer
Dongdong Chen
Jing Liao
Lu Yuan
Nenghai Yu
G. Hua
105
284
0
27 Mar 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
202
4,001
0
14 Feb 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
3DV
MDE
79
701
0
07 Dec 2016
12
Next