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RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials

RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials

6 January 2019
Despoina Paschalidou
Ali O. Ulusoy
Carolin Schmitt
Luc van Gool
Andreas Geiger
    3DV
ArXiv (abs)PDFHTML

Papers citing "RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials"

25 / 25 papers shown
Title
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction
Nikolay Savinov
Lubor Ladicky
Christian Häne
Marc Pollefeys
3DV
49
64
0
25 Jun 2019
Learning a Multi-View Stereo Machine
Learning a Multi-View Stereo Machine
Abhishek Kar
Christian Häne
Jitendra Malik
3DV
70
529
0
17 Aug 2017
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
Mengqi Ji
Juergen Gall
Haitian Zheng
Yebin Liu
Lu Fang
3DV
51
396
0
05 Aug 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas Guibas
3DV3DPC
68
88
0
08 Jul 2017
Multi-view Supervision for Single-view Reconstruction via Differentiable
  Ray Consistency
Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency
Shubham Tulsiani
Tinghui Zhou
Alyosha A. Efros
Jitendra Malik
3DV
97
560
0
20 Apr 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC3DV
100
207
0
04 Apr 2017
Hierarchical Surface Prediction for 3D Object Reconstruction
Hierarchical Surface Prediction for 3D Object Reconstruction
Christian Häne
Shubham Tulsiani
Jitendra Malik
3DV
103
332
0
03 Apr 2017
Octree Generating Networks: Efficient Convolutional Architectures for
  High-resolution 3D Outputs
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
106
741
0
28 Mar 2017
Learned Multi-Patch Similarity
Learned Multi-Patch Similarity
Wilfried Hartmann
S. Galliani
M. Havlena
Luc Van Gool
Konrad Schindler
3DV
65
106
0
26 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
265
3,082
0
06 Dec 2016
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC3DV
169
2,242
0
02 Dec 2016
Perspective Transformer Nets: Learning Single-View 3D Object
  Reconstruction without 3D Supervision
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan
Jimei Yang
Ersin Yumer
Yijie Guo
Honglak Lee
3DV
104
590
0
01 Dec 2016
Semantic Scene Completion from a Single Depth Image
Semantic Scene Completion from a Single Depth Image
Shuran Song
Feng Yu
Andy Zeng
Angel X. Chang
Manolis Savva
Thomas Funkhouser
3DV
90
1,246
0
28 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
120
1,221
0
03 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
313
1,960
0
24 Oct 2016
Unsupervised Learning of 3D Structure from Images
Unsupervised Learning of 3D Structure from Images
Danilo Jimenez Rezende
S. M. Ali Eslami
S. Mohamed
Peter W. Battaglia
Max Jaderberg
N. Heess
3DVSSLDRL
88
396
0
03 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object
  Reconstruction
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
Chris Choy
Danfei Xu
JunYoung Gwak
Kevin Chen
Silvio Savarese
3DV
92
1,720
0
02 Apr 2016
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
106
709
0
29 Mar 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
174
5,538
0
09 Dec 2015
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
72
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
154
1,389
0
20 Oct 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
92
1,436
0
14 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Computing the Stereo Matching Cost with a Convolutional Neural Network
Computing the Stereo Matching Cost with a Convolutional Neural Network
Jure Zbontar
Yann LeCun
3DV
74
770
0
15 Sep 2014
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