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Learning Stereo from Single Images

Learning Stereo from Single Images

4 August 2020
Jamie Watson
Oisin Mac Aodha
Daniyar Turmukhambetov
Gabriel J. Brostow
Michael Firman
ArXivPDFHTML

Papers citing "Learning Stereo from Single Images"

18 / 18 papers shown
Title
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World
Yuran Wang
Yingping Liang
Ying Fu
26
0
0
13 May 2025
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
Michal Geyer
Omer Tov
Linyi Jin
Richard Tucker
Inbar Mosseri
Tali Dekel
Noah Snavely
DiffM
VGen
102
0
0
30 Apr 2025
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework
Nikhil Shivakumar Nayak
54
3
0
04 Apr 2025
Revisiting Depth Completion from a Stereo Matching Perspective for
  Cross-domain Generalization
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization
Luca Bartolomei
Matteo Poggi
Andrea Conti
Fabio Tosi
S. Mattoccia
38
8
0
14 Dec 2023
NeRF-Supervised Deep Stereo
NeRF-Supervised Deep Stereo
Fabio Tosi
A. Tonioni
Daniele De Gregorio
Matteo Poggi
MDE
21
41
0
30 Mar 2023
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera
D. Luvizon
Marc Habermann
Vladislav Golyanik
Adam Kortylewski
Christian Theobalt
3DH
HAI
22
18
0
12 Jan 2023
A Practical Stereo Depth System for Smart Glasses
A Practical Stereo Depth System for Smart Glasses
Jialiang Wang
D. Scharstein
Akash Bapat
Kevin Blackburn-Matzen
Matthew Yu
...
Jan-Michael Frahm
Zijian He
Peter Vajda
Michael F. Cohen
M. Uyttendaele
MDE
33
5
0
19 Nov 2022
Revisiting Domain Generalized Stereo Matching Networks from a Feature
  Consistency Perspective
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective
Jiawei Zhang
Xiang Wang
Xiao Bai
Chen Wang
Lei Huang
Yimin Chen
Lin Gu
Jun Zhou
Tatsuya Harada
Edwin R. Hancock
24
55
0
21 Mar 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth
  Estimation
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek
Gyeongnyeon Kim
Seung Wook Kim
FedML
MDE
33
12
0
18 Mar 2022
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
Yi-Nan Chen
Hang Dai
Yong Ding
3DPC
19
63
0
04 Mar 2022
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth
  Estimation
PanoDepth: A Two-Stage Approach for Monocular Omnidirectional Depth Estimation
Yu-yang Li
Zhixin Yan
Ye Duan
Liu Ren
MDE
21
13
0
02 Feb 2022
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of
  Depth and Pose from Monocular Video
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Guangming Wang
Jiquan Zhong
Shijie Zhao
Wenhua Wu
Zhe Liu
Hesheng Wang
MDE
32
21
0
06 Dec 2021
Learning multiplane images from single views with self-supervision
Learning multiplane images from single views with self-supervision
Gustavo Sutter P. Carvalho
D. Luvizon
Antonio Joia Neto
André G. C. Pacheco
O. A. B. Penatti
SSL
38
1
0
18 Oct 2021
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching
Lahav Lipson
Zachary Teed
Jia Deng
MDE
36
387
0
15 Sep 2021
Learning optical flow from still images
Learning optical flow from still images
Filippo Aleotti
Matteo Poggi
S. Mattoccia
3DPC
36
34
0
08 Apr 2021
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
Hiroki Sakuma
Yoshinori Konishi
21
2
0
26 Mar 2021
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence
  Perspective with Transformers
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
Zhaoshuo Li
Xingtong Liu
Nathan G. Drenkow
Andy S Ding
Francis X. Creighton
Russell H. Taylor
Mathias Unberath
MDE
ViT
36
275
0
05 Nov 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
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