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Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

16 March 2016
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
    3DV
    MDE
ArXivPDFHTML

Papers citing "Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue"

50 / 293 papers shown
Title
Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
SSL
MDE
34
243
0
12 Jul 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
93
1,750
0
02 Jul 2019
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial
  Odometry using 3D Geometric Constraints
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
Liming Han
Yimin Lin
Guoguang Du
Kai Wang
3DPC
MDE
27
95
0
27 Jun 2019
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep
  Point Cloud Prediction Networks
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan
Mohi Khansari
Jasmine Hsu
Yuanzheng Gong
Yunfei Bai
Soren Pirk
Honglak Lee
3DPC
19
32
0
21 Jun 2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
Tobias Gruber
Mario Bijelic
Felix Heide
W. Ritter
Klaus C. J. Dietmayer
MDE
3DV
41
29
0
21 Jun 2019
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with
  Stacked Generative Adversarial Networks
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks
Tuo Feng
Dongbing Gu
MDE
GAN
12
66
0
20 Jun 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates
Generating and Exploiting Probabilistic Monocular Depth Estimates
Zhihao Xia
Patrick Sullivan
Ayan Chakrabarti
UQCV
VLM
MDE
22
34
0
13 Jun 2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
MDE
13
102
0
12 Jun 2019
Bridging Stereo Matching and Optical Flow via Spatiotemporal
  Correspondence
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
Hsueh-Ying Lai
Yi-Hsuan Tsai
Wei-Chen Chiu
27
80
0
22 May 2019
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency
  Using Deep Neural Network
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural Network
A. Amiri
S. Loo
Hong Zhang
MDE
22
56
0
18 May 2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
Jaehoon Cho
Dongbo Min
Youngjung Kim
Kwanghoon Sohn
MDE
3DV
33
47
0
23 Apr 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene
  Parsing, Depth Estimation, and More
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
Jingwen Ye
Yixin Ji
Xinchao Wang
Kairi Ou
Dapeng Tao
Xiuming Zhang
MoMe
24
75
0
23 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
22
177
0
15 Apr 2019
Learning to Adapt for Stereo
Learning to Adapt for Stereo
A. Tonioni
Oscar Rahnama
Thomas Joy
Luigi Di Stefano
Thalaiyasingam Ajanthan
Philip Torr
13
84
0
05 Apr 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single
  RGB Image
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image
Jingwei Huang
Yichao Zhou
Thomas Funkhouser
Leonidas J. Guibas
3DV
31
45
0
29 Mar 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised
  Monocular Depth Prediction
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
A. Wong
Byung-Woo Hong
Stefano Soatto
MDE
43
91
0
18 Mar 2019
Neural Scene Decomposition for Multi-Person Motion Capture
Neural Scene Decomposition for Multi-Person Motion Capture
Helge Rhodin
Victor Constantin
Isinsu Katircioglu
Mathieu Salzmann
Pascal Fua
3DH
SSL
33
47
0
13 Mar 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge
  Distillation for Unsupervised Monocular Depth Estimation
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Andrea Pilzer
Stéphane Lathuilière
N. Sebe
Elisa Ricci
MDE
25
135
0
11 Mar 2019
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Mingyang Liang
Xiaoyang Guo
Hongsheng Li
Xiaogang Wang
You Song
GAN
27
27
0
04 Mar 2019
Dense Depth Estimation in Monocular Endoscopy with Self-supervised
  Learning Methods
Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods
Xingtong Liu
Ayushi Sinha
M. Ishii
Gregory Hager
A. Reiter
Russell H. Taylor
Mathias Unberath
MDE
31
121
0
20 Feb 2019
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local
  Features
DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features
Rong Kang
Jieqi Shi
Xueming Li
Yang Liu
Xiao-Chang Liu
21
43
0
22 Jan 2019
Unsupervised monocular stereo matching
Unsupervised monocular stereo matching
Zhimin Zhang
Jianzhong Qiao
Shukuan Lin
MDE
21
0
0
31 Dec 2018
Visual Depth Mapping from Monocular Images using Recurrent Convolutional
  Neural Networks
Visual Depth Mapping from Monocular Images using Recurrent Convolutional Neural Networks
John Mern
Kyle D. Julian
Rachael E. Tompa
Mykel J. Kochenderfer
GAN
21
7
0
10 Dec 2018
Unsupervised Learning of Monocular Depth Estimation with Bundle
  Adjustment, Super-Resolution and Clip Loss
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss
Lipu Zhou
Jiamin Ye
Montiel Abello
Shengze Wang
Michael Kaess
MDE
29
27
0
08 Dec 2018
Inferring Point Clouds from Single Monocular Images by Depth
  Intermediation
Inferring Point Clouds from Single Monocular Images by Depth Intermediation
Wei Zeng
Sezer Karaoglu
Theo Gevers
3DPC
24
19
0
04 Dec 2018
Image Reconstruction with Predictive Filter Flow
Image Reconstruction with Predictive Filter Flow
Shu Kong
Charless C. Fowlkes
SupR
24
13
0
28 Nov 2018
Self-Supervised Learning of Depth and Camera Motion from 360°
  Videos
Self-Supervised Learning of Depth and Camera Motion from 360° Videos
Fu-En Wang
Hou-Ning Hu
Hsien-Tzu Cheng
Juan-Ting Lin
Shang-Ta Yang
Meng-Li Shih
Hung-Kuo Chu
Min Sun
MDE
23
71
0
13 Nov 2018
Real-time self-adaptive deep stereo
Real-time self-adaptive deep stereo
A. Tonioni
Fabio Tosi
Matteo Poggi
S. Mattoccia
Luigi Di Stefano
22
265
0
12 Oct 2018
Finding Correspondences for Optical Flow and Disparity Estimations using
  a Sub-pixel Convolution-based Encoder-Decoder Network
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network
Juan Luis Gonzalez
M. Sarmad
H. J. Lee
Munchurl Kim
16
1
0
07 Oct 2018
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation
Sudeep Pillai
Rares Ambrus
Adrien Gaidon
SupR
MDE
16
216
0
03 Oct 2018
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
Albert Pumarola
Antonio Agudo
Lorenzo Porzi
Alberto Sanfeliu
Vincent Lepetit
Francesc Moreno-Noguer
3DPC
3DH
35
59
0
27 Sep 2018
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from
  Sparse Event Data
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye
A. Mitrokhin
Cornelia Fermuller
J. Yorke
Yiannis Aloimonos
MDE
24
37
0
23 Sep 2018
A Deep Learning Framework for Unsupervised Affine and Deformable Image
  Registration
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
B. D. de Vos
F. Berendsen
M. Viergever
Hessam Sokooti
Marius Staring
Ivana Isgum
MedIm
40
675
0
17 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using
  Asymmetric Annotations
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
Vladimir Nekrasov
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
Chunhua Shen
Ian Reid
31
148
0
13 Sep 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
38
472
0
05 Sep 2018
Learning monocular depth estimation with unsupervised trinocular
  assumptions
Learning monocular depth estimation with unsupervised trinocular assumptions
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
24
152
0
05 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
Wen Liu
K. Cheng
MQ
48
550
0
01 Aug 2018
Peeking Behind Objects: Layered Depth Prediction from a Single Image
Peeking Behind Objects: Layered Depth Prediction from a Single Image
Helisa Dhamo
Keisuke Tateno
Iro Laina
Nassir Navab
Federico Tombari
GAN
3DV
32
60
0
23 Jul 2018
Towards real-time unsupervised monocular depth estimation on CPU
Towards real-time unsupervised monocular depth estimation on CPU
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
MDE
21
156
0
29 Jun 2018
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D
  Motion Understanding
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPC
22
109
0
27 Jun 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
30
67
0
25 Jun 2018
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
M. Levoy
3DH
MDE
193
176
0
11 Jun 2018
Cube Padding for Weakly-Supervised Saliency Prediction in 360°
  Videos
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos
Hsien-Tzu Cheng
Chun-Hung Chao
Jin-Dong Dong
Hao-Kai Wen
Tyng-Luh Liu
Min Sun
27
189
0
04 Jun 2018
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Monocular Depth Estimation with Augmented Ordinal Depth Relationships
Yuanzhouhan Cao
Tianqi Zhao
Ke Xian
Chunhua Shen
Zhiguo Cao
Shugong Xu
MDE
22
49
0
02 Jun 2018
Learning to Generate Facial Depth Maps
Learning to Generate Facial Depth Maps
S. Pini
Filippo Grazioli
Guido Borghi
R. Vezzani
Rita Cucchiara
CVBM
GAN
MDE
39
9
0
30 May 2018
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from
  Video
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video
Rui Wang
Jan-Michael Frahm
Stephen M. Pizer
3DV
MDE
24
9
0
17 May 2018
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View
  Depth Predictors as Priors
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors
C. Weerasekera
Thanuja Dharmasiri
Ravi Garg
Tom Drummond
Ian Reid
32
27
0
11 May 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
17
522
0
18 Apr 2018
Dual CNN Models for Unsupervised Monocular Depth Estimation
Dual CNN Models for Unsupervised Monocular Depth Estimation
Vamshi Krishna Repala
S. Dubey
MDE
35
37
0
16 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
35
370
0
03 Apr 2018
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