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Learn-to-Score: Efficient 3D Scene Exploration by Predicting View
  Utility

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility

27 June 2018
Benjamin Hepp
Debadeepta Dey
Sudipta N. Sinha
Ashish Kapoor
Neel Joshi
Otmar Hilliges
ArXivPDFHTML

Papers citing "Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility"

18 / 18 papers shown
Title
VIN-NBV: A View Introspection Network for Next-Best-View Selection for Resource-Efficient 3D Reconstruction
VIN-NBV: A View Introspection Network for Next-Best-View Selection for Resource-Efficient 3D Reconstruction
Noah Frahm
Dongxu Zhao
Andrea Dunn Beltran
Ron Alterovitz
Jan-Michael Frahm
Junier Oliva
Roni Sengupta
395
0
0
09 May 2025
Learning to Look around Objects for Top-View Representations of Outdoor
  Scenes
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
S. Schulter
Menghua Zhai
Nathan Jacobs
Manmohan Chandraker
SSL
3DPC
58
86
0
28 Mar 2018
Generic 3D Representation via Pose Estimation and Matching
Generic 3D Representation via Pose Estimation and Matching
Amir Zamir
T. Wekel
Pulkit Agrawal
Colin Wei
Jitendra Malik
Silvio Savarese
3DV
47
94
0
23 Oct 2017
Adaptive Information Gathering via Imitation Learning
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury
Ashish Kapoor
G. Ranade
Sebastian Scherer
Debadeepta Dey
53
22
0
22 May 2017
Submodular Trajectory Optimization for Aerial 3D Scanning
Submodular Trajectory Optimization for Aerial 3D Scanning
Mike Roberts
Debadeepta Dey
A. Truong
Sudipta N. Sinha
S. Shah
Ashish Kapoor
Pat Hanrahan
Neel Joshi
45
126
0
01 May 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC
3DV
447
4,040
0
14 Feb 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
163
884
0
03 Feb 2017
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai
C. Qi
Matthias Nießner
3DV
3DPC
76
606
0
01 Dec 2016
OctNet: Learning Deep 3D Representations at High Resolutions
OctNet: Learning Deep 3D Representations at High Resolutions
Gernot Riegler
Ali O. Ulusoy
Andreas Geiger
3DV
3DPC
208
1,477
0
15 Nov 2016
A Reinforcement Learning Approach to the View Planning Problem
A Reinforcement Learning Approach to the View Planning Problem
Mustafa Devrim Kaba
M. Uzunbas
Ser Nam Lim
54
48
0
19 Oct 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
82
1,712
0
02 Apr 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
Andy Zeng
Shuran Song
Matthias Nießner
Matthew Fisher
Jianxiong Xiao
Thomas Funkhouser
3DV
3DPC
76
987
0
27 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
336
10,172
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.0K
193,426
0
10 Dec 2015
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song
Jianxiong Xiao
3DPC
88
679
0
07 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu
Chunhua Shen
Guosheng Lin
MDE
166
890
0
24 Nov 2014
Adaptive Submodularity: Theory and Applications in Active Learning and
  Stochastic Optimization
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Daniel Golovin
Andreas Krause
135
601
0
21 Mar 2010
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