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SMD-Nets: Stereo Mixture Density Networks

SMD-Nets: Stereo Mixture Density Networks

8 April 2021
Fabio Tosi
Yiyi Liao
Carolin Schmitt
Andreas Geiger
    3DV
ArXiv (abs)PDFHTML

Papers citing "SMD-Nets: Stereo Mixture Density Networks"

45 / 45 papers shown
Title
The Fourth Monocular Depth Estimation Challenge
The Fourth Monocular Depth Estimation Challenge
Anton Obukhov
Matteo Poggi
Fabio Tosi
Ripudaman Singh Arora
Jaime Spencer
...
Tuan-Anh Yang
Minh-Quang Nguyen
T. Tran
Albert Luginov
Muhammad Shahzad
MDE
416
1
0
24 Apr 2025
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Pietro Michiardi
214
0
0
18 Mar 2025
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization
RGB-Phase Speckle: Cross-Scene Stereo 3D Reconstruction via Wrapped Pre-Normalization
Kai Yang
Zijian Bai
Yang Xiao
Xinyu Li
Xiaohan Shi
159
0
0
08 Mar 2025
IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching
Gangwei Xu
Xianqi Wang
Zhaoxing Zhang
Junda Cheng
Chunyuan Liao
Xin Yang
3DV
110
12
0
01 Sep 2024
Wasserstein Distances for Stereo Disparity Estimation
Wasserstein Distances for Stereo Disparity Estimation
Divyansh Garg
Yan Wang
B. Hariharan
M. Campbell
Kilian Q. Weinberger
Wei-Lun Chao
87
71
0
06 Jul 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz
Yiyi Liao
Michael Niemeyer
Andreas Geiger
VGen
140
872
0
05 Jul 2020
Implicit Neural Representations with Periodic Activation Functions
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann
Julien N. P. Martel
Alexander W. Bergman
David B. Lindell
Gordon Wetzstein
AI4TS
159
2,571
0
17 Jun 2020
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Haofei Xu
Juyong Zhang
3DPC3DV
117
465
0
20 Apr 2020
On the Synergies between Machine Learning and Binocular Stereo for Depth
  Estimation from Images: a Survey
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey
Matteo Poggi
Fabio Tosi
Konstantinos Batsos
Philippos Mordohai
S. Mattoccia
3DVMDE
98
15
0
18 Apr 2020
3D Photography using Context-aware Layered Depth Inpainting
3D Photography using Context-aware Layered Depth Inpainting
Meng-Li Shih
Shih-Yang Su
Johannes Kopf
Jia-Bin Huang
3DPC3DV
62
302
0
09 Apr 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DVAI4CE
345
986
0
10 Mar 2020
PointRend: Image Segmentation as Rendering
PointRend: Image Segmentation as Rendering
Alexander Kirillov
Yuxin Wu
Kaiming He
Ross B. Girshick
ISeg
76
898
0
17 Dec 2019
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH3DV
71
1,000
0
16 Dec 2019
Hierarchical Deep Stereo Matching on High-resolution Images
Hierarchical Deep Stereo Matching on High-resolution Images
Gengshan Yang
Joshua M. Manela
Michael Happold
Deva Ramanan
3DV
107
261
0
13 Dec 2019
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo
  Matching
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Xiaodong Gu
Zhiwen Fan
Zuozhuo Dai
Siyu Zhu
Feitong Tan
P. Tan
3DV
121
722
0
13 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,449
0
03 Dec 2019
Normal Assisted Stereo Depth Estimation
Normal Assisted Stereo Depth Estimation
Uday Kusupati
Shuo Cheng
Rui Chen
Hao Su
3DV
44
85
0
24 Nov 2019
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge
Learning End-To-End Scene Flow by Distilling Single Tasks Knowledge
Filippo Aleotti
Matteo Poggi
Fabio Tosi
S. Mattoccia
37
40
0
22 Nov 2019
Real-Time Semantic Stereo Matching
Real-Time Semantic Stereo Matching
Pier Luigi Dovesi
Matteo Poggi
Lorenzo Andraghetti
Miquel Martí
Hedvig Kjellström
Alessandro Pieropan
S. Mattoccia
3DV
108
71
0
01 Oct 2019
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youming Zhang
Yimin Chen
Xiao Bai
J. Zhou
Kun Yu
Zhiwei Li
Kuiyuan Yang
3DV
56
181
0
09 Sep 2019
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous
  Driving
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Yurong You
Yan Wang
Wei-Lun Chao
Divyansh Garg
Geoff Pleiss
B. Hariharan
M. Campbell
Kilian Q. Weinberger
3DPC
95
395
0
14 Jun 2019
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching
CNN-based Cost Volume Analysis as Confidence Measure for Dense Matching
M. Mehltretter
Christian Heipke
3DV
30
16
0
17 May 2019
Texture Fields: Learning Texture Representations in Function Space
Texture Fields: Learning Texture Representations in Function Space
Michael Oechsle
L. Mescheder
Michael Niemeyer
Thilo Strauss
Andreas Geiger
3DH3DV
97
299
0
17 May 2019
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human
  Digitization
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
Shunsuke Saito
Zeng Huang
Ryota Natsume
Shigeo Morishima
Angjoo Kanazawa
Hao Li
3DH
150
1,258
0
13 May 2019
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
Feihu Zhang
V. Prisacariu
Ruigang Yang
Philip Torr
3DV
52
686
0
13 Apr 2019
StereoDRNet: Dilated Residual Stereo Net
StereoDRNet: Dilated Residual Stereo Net
Rohan Chabra
Julian Straub
Chris Sweeney
Richard Newcombe
Henry Fuchs
MDE3DPC3DV
63
103
0
03 Apr 2019
Group-wise Correlation Stereo Network
Group-wise Correlation Stereo Network
Xiaoyang Guo
Kai Yang
Wukui Yang
Xiaogang Wang
Hongsheng Li
3DV
123
565
0
10 Mar 2019
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching
  and Edge Detection
EdgeStereo: An Effective Multi-Task Learning Network for Stereo Matching and Edge Detection
Xiao-yang Song
Xu Zhao
Liangji Fang
Hanwen Hu
101
167
0
05 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
133
3,704
0
16 Jan 2019
Hierarchical Discrete Distribution Decomposition for Match Density
  Estimation
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Zhichao Yin
Trevor Darrell
Feng Yu
3DV
121
246
0
15 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
249
2,906
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE3DV
148
1,638
0
06 Dec 2018
Anytime Stereo Image Depth Estimation on Mobile Devices
Anytime Stereo Image Depth Estimation on Mobile Devices
Yan Wang
Zihang Lai
Gao Huang
Brian H. Wang
Laurens van der Maaten
M. Campbell
Kilian Q. Weinberger
70
189
0
26 Oct 2018
Real-time self-adaptive deep stereo
Real-time self-adaptive deep stereo
A. Tonioni
Fabio Tosi
Matteo Poggi
S. Mattoccia
Luigi Di Stefano
106
266
0
12 Oct 2018
Occlusions, Motion and Depth Boundaries with a Generic Network for
  Disparity, Optical Flow or Scene Flow Estimation
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
Eddy Ilg
Tonmoy Saikia
Margret Keuper
Thomas Brox
3DPC
124
206
0
06 Aug 2018
SegStereo: Exploiting Semantic Information for Disparity Estimation
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang
Hengshuang Zhao
Jianping Shi
Zhidong Deng
Jiaya Jia
69
338
0
31 Jul 2018
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth
  Prediction
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction
S. Khamis
S. Fanello
Christoph Rhemann
Adarsh Kowdle
Julien P. C. Valentin
Shahram Izadi
3DV
52
341
0
24 Jul 2018
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo
  matching
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
S. Tulyakov
A. Ivanov
François Fleuret
3DV
105
126
0
05 Jun 2018
Pyramid Stereo Matching Network
Pyramid Stereo Matching Network
Jia-Ren Chang
Yonghao Chen
3DPC
128
1,509
0
23 Mar 2018
Cascade Residual Learning: A Two-stage Convolutional Neural Network for
  Stereo Matching
Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching
Jiahao Pang
Wenxiu Sun
Jimmy S. J. Ren
Chengxi Yang
Qiong Yan
82
457
0
30 Aug 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDLOODUDUQCVPER
359
4,709
0
15 Mar 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall
H. Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
3DV3DPCMDE
85
1,336
0
13 Mar 2017
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
64
2,648
0
07 Dec 2015
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
143
1,388
0
20 Oct 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
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