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Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
v1v2 (latest)

Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

IEEE International Conference on Computer Vision (ICCV), 2019
12 July 2019
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
    SSLMDE
ArXiv (abs)PDFHTML

Papers citing "Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera"

50 / 156 papers shown
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
Y. Zhou
Yifan Wang
Jianjun Zhou
Wenzheng Chang
Haoyu Guo
...
Junyi Chen
Chunhua Shen
Jiangmiao Pang
Kaipeng Zhang
Tong He
VGen
287
5
0
15 Sep 2025
Reconstructing 4D Spatial Intelligence: A Survey
Reconstructing 4D Spatial Intelligence: A Survey
Yukang Cao
Jiahao Lu
Z. Huang
Zhuowei Shen
Chengfeng Zhao
...
Z. Chen
Xin Li
Wenping Wang
Yuan Liu
Ziwei Liu
VGen
351
8
0
28 Jul 2025
DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation
DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation
Yue-Jiang Dong
Wang Zhao
Jiale Xu
Ying Shan
Song-Hai Zhang
DiffMMDE
300
2
0
02 Jul 2025
StereoDiff: Stereo-Diffusion Synergy for Video Depth Estimation
StereoDiff: Stereo-Diffusion Synergy for Video Depth Estimation
Haodong Li
Chen Wang
Jiahui Lei
Kostas Daniilidis
Lingjie Liu
DiffMVGenMDE
247
3
0
25 Jun 2025
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric VideosComputer Vision and Pattern Recognition (CVPR), 2025
Vadim Tschernezki
Diane Larlus
Andrea Vedaldi
Iro Laina
266
0
0
05 Jun 2025
GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion
GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion
Gwanghyun Kim
Xueting Li
Ye Yuan
Koki Nagano
Tianye Li
Jan Kautz
Se Young Chun
Umar Iqbal
DiffM
207
0
0
29 May 2025
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors
Tian-Xing Xu
Xiangjun Gao
Wenbo Hu
Xiaoyu Li
Song-Hai Zhang
Mingyu Ding
VGenMDE
450
19
0
01 Apr 2025
Aether: Geometric-Aware Unified World Modeling
Aether: Geometric-Aware Unified World Modeling
Aether Team
Haoyi Zhu
Yanjie Wang
Jianjun Zhou
Wenzheng Chang
...
Zizun Li
Junyi Chen
Chunhua Shen
Jiangmiao Pang
Tong He
DiffMVGen
499
46
0
24 Mar 2025
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Align3R: Aligned Monocular Depth Estimation for Dynamic VideosComputer Vision and Pattern Recognition (CVPR), 2024
Jiahao Lu
Tianyu Huang
Peng Li
Bushi Liu
Cheng Lin
Zhiming Cui
Z. Dong
Sai-Kit Yeung
Wenping Wang
Yuan Liu
VGenMDE
460
55
0
04 Dec 2024
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation
Yunpeng Bai
Qixing Huang
DiffM
449
3
0
01 Dec 2024
Dual-frame Fluid Motion Estimation with Test-time Optimization and
  Zero-divergence Loss
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence LossNeural Information Processing Systems (NeurIPS), 2024
Yifei Zhang
Huan-ang Gao
Zhou Jiang
Hang Zhao
235
2
0
15 Oct 2024
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For FreeInternational Conference on Learning Representations (ICLR), 2024
Ziyue Li
Wanrong Zhu
MoE
498
42
0
14 Oct 2024
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
343
1
0
27 Jul 2024
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and
  Multi-frame Monocular Depth Estimation
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation
Jinfeng Liu
Lingtong Kong
Bo Li
Zerong Wang
Hong Gu
Jinwei Chen
MDE
272
11
0
19 Jul 2024
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with
  Probabilistic Fusion
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
Sungmin Woo
Wonjoon Lee
Woo Jin Kim
Dogyoon Lee
Sangyoun Lee
MDE
251
5
0
12 Jul 2024
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint
  Learning
SCIPaD: Incorporating Spatial Clues into Unsupervised Pose-Depth Joint Learning
Yi Feng
Zizhan Guo
Qijun Chen
Rui Fan
MDE
293
11
0
07 Jul 2024
DoubleTake: Geometry Guided Depth Estimation
DoubleTake: Geometry Guided Depth Estimation
Mohamed Sayed
Filippo Aleotti
Jamie Watson
Z. Qureshi
Guillermo Garcia-Hernando
Gabriel J. Brostow
Sara Vicente
Michael Firman
MDE3DH3DV
424
9
0
26 Jun 2024
Back to the Color: Learning Depth to Specific Color Transformation for
  Unsupervised Depth Estimation
Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation
Yufan Zhu
Chongzhi Ran
Mingtao Feng
Fangfang Wu
Le Dong
Weisheng Dong
Antonio M. López
G. Shi
MDE
259
0
0
11 Jun 2024
MambaDepth: Enhancing Long-range Dependency for Self-Supervised
  Fine-Structured Monocular Depth Estimation
MambaDepth: Enhancing Long-range Dependency for Self-Supervised Fine-Structured Monocular Depth Estimation
Ionuţ Grigore
Călin-Adrian Popa
MambaMDE
416
4
0
06 Jun 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
425
10
0
27 May 2024
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth
  Estimation
FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation
Yiyang Sun
Zhiyuan Xu
Xiaonian Wang
Jing Yao
MDE
280
4
0
28 Mar 2024
Geometric Constraints in Deep Learning Frameworks: A Survey
Geometric Constraints in Deep Learning Frameworks: A SurveyACM Computing Surveys (ACM CSUR), 2024
Vibhas Kumar Vats
David J. Crandall
3DV
320
2
0
19 Mar 2024
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV &
  CribsTV
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTV
Jaime Spencer
Chris Russell
Simon Hadfield
Richard Bowden
MDE
264
7
0
03 Mar 2024
MAL: Motion-Aware Loss with Temporal and Distillation Hints for
  Self-Supervised Depth Estimation
MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
Yue-Jiang Dong
Fang-Lue Zhang
Song-Hai Zhang
224
5
0
18 Feb 2024
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal
  Semi-supervised Learning
Multiple Random Masking Autoencoder Ensembles for Robust Multimodal Semi-supervised Learning
Alexandru-Raul Todoran
Marius Leordeanu
232
0
0
12 Feb 2024
OptFlow: Fast Optimization-based Scene Flow Estimation without
  Supervision
OptFlow: Fast Optimization-based Scene Flow Estimation without Supervision
Rahul Ahuja
Chris Baker
Wilko Schwarting
3DPC
227
6
0
04 Jan 2024
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
LEAP-VO: Long-term Effective Any Point Tracking for Visual OdometryComputer Vision and Pattern Recognition (CVPR), 2024
Weirong Chen
Le Chen
Rui Wang
Marc Pollefeys
414
43
0
03 Jan 2024
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth
  In Dynamic Scenarios
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios
Kaichen Zhou
Jia-Xing Zhong
Jia-Wang Bian
Qian Xie
Jian-Qing Zheng
Niki Trigoni
Andrew Markham
MDE
321
0
0
23 Dec 2023
PPEA-Depth: Progressive Parameter-Efficient Adaptation for
  Self-Supervised Monocular Depth Estimation
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation
Yue-Jiang Dong
Yuanchen Guo
Ying-Tian Liu
Fang-Lue Zhang
Song-Hai Zhang
MDE
273
8
0
20 Dec 2023
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth
  Estimation of Dynamic Objects with Ground Contact Prior
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact PriorComputer Vision and Pattern Recognition (CVPR), 2023
Jaeho Moon
J. P. Bello
Byeongjun Kwon
Munchurl Kim
248
16
0
15 Dec 2023
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments
OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free EnvironmentsIEEE Transactions on Image Processing (IEEE TIP), 2023
Chubin Zhang
Juncheng Yan
Yi Wei
Jiaxin Li
Li Liu
Yansong Tang
Yueqi Duan
Jiwen Lu
3DV3DPC
293
24
0
14 Dec 2023
Un-EVIMO: Unsupervised Event-Based Independent Motion Segmentation
Un-EVIMO: Unsupervised Event-Based Independent Motion SegmentationEuropean Conference on Computer Vision (ECCV), 2023
ZiYun Wang
Jinyuan Guo
Kostas Daniilidis
341
3
0
30 Nov 2023
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
Yangchao Wu
Tian Yu Liu
Hyoungseob Park
Stefano Soatto
Dong Lao
Alex Wong
363
14
0
15 Oct 2023
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth
  Estimation
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan
Junbang Liang
Chun-Kai Wang
Shan Yang
Yu Lou
MDE
208
4
0
06 Oct 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth EstimationConference on Robot Learning (CoRL), 2023
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
315
2
0
26 Sep 2023
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular
  Self-supervised Depth Estimation
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Zhengming Zhou
Qiulei Dong
MDE
224
11
0
02 Sep 2023
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth
  Estimation
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationAAAI Conference on Artificial Intelligence (AAAI), 2023
Youhong Wang
Yunji Liang
Hao Xu
Shaohui Jiao
Hongkai Yu
MDE
221
52
0
01 Sep 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth
  Observations
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations
Mihai Cristian Pîrvu
Alina Marcu
A. Dobrescu
N. Belbachir
Marius Leordeanu
182
10
0
21 Aug 2023
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
LightDepth: Single-View Depth Self-Supervision from Illumination DeclineIEEE International Conference on Computer Vision (ICCV), 2023
Javier Rodríguez-Puigvert
Víctor M. Batlle
José M.M. Montiel
Ruben Martinez Cantin
Pascal Fua
Juan D. Tardós
Javier Civera
241
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21 Aug 2023
Self-supervised Hypergraphs for Learning Multiple World Interpretations
Self-supervised Hypergraphs for Learning Multiple World Interpretations
Alina Marcu
Mihai Cristian Pîrvu
Dragos Costea
Emanuela Haller
E. Slusanschi
A. Belbachir
Rahul Sukthankar
Marius Leordeanu
SSL
267
11
0
15 Aug 2023
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Xingyu Miao
Yang Bai
Haoran Duan
Yawen Huang
Fan Wan
Xinxing Xu
Yang Long
Yefeng Zheng
MDE
201
26
0
14 Aug 2023
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative
  Convolution Network
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution NetworkIEEE International Conference on Computer Vision (ICCV), 2023
Wencheng Han
Junbo Yin
Jianbing Shen
MDE
183
25
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10 Aug 2023
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVIEEE International Conference on Computer Vision (ICCV), 2023
Jaime Spencer
Chris Russell
Simon Hadfield
Richard Bowden
MDE
204
22
0
20 Jul 2023
Virtual Occlusions Through Implicit Depth
Virtual Occlusions Through Implicit DepthComputer Vision and Pattern Recognition (CVPR), 2023
Jamie Watson
Mohamed Sayed
Z. Qureshi
Gabriel J. Brostow
Sara Vicente
Oisin Mac Aodha
Michael Firman
299
10
0
11 May 2023
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with
  Cost Volume
FusionDepth: Complement Self-Supervised Monocular Depth Estimation with Cost Volume
Zhuofei Huang
Jianlin Liu
Shang Xu
Ying Chen
Wenshu Fan
MDE
129
0
0
10 May 2023
Edge-aware Consistent Stereo Video Depth Estimation
Edge-aware Consistent Stereo Video Depth Estimation
Shogo Kusano
S. Jaiswal
Faranak Shamsafar
Masayuki Uchida
Klaus Illgner-Fehns
Philipp Slusallek
MDE
186
1
0
04 May 2023
Pose Constraints for Consistent Self-supervised Monocular Depth and
  Ego-motion
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motionScandinavian Conference on Image Analysis (SCIA), 2023
Zeeshan Khan Suri
MDE
175
4
0
18 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsInternational Journal of Computer Vision (IJCV), 2023
Jian Liang
Ran He
Tien-Ping Tan
OODVLMTTA
317
385
0
27 Mar 2023
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature
  Fusion in Dynamic Scenes
Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic ScenesACM Multimedia (ACM MM), 2023
Jiquan Zhong
Xiaolin Huang
Xiao-Wei Yu
MDE
262
7
0
26 Mar 2023
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic
  Scenes
RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic ScenesComputer Vision and Pattern Recognition (CVPR), 2022
Tak-Wai Hui
MDE
259
56
0
08 Mar 2023
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