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RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis
v1v2 (latest)

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

14 May 2022
Jonathan Tremblay
Moustafa Meshry
Alex Evans
Jan Kautz
A. Keller
S. Khamis
Thomas Müller
Charles T. Loop
N. Morrical
Koki Nagano
Towaki Takikawa
Stan Birchfield
ArXiv (abs)PDFHTML

Papers citing "RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis"

18 / 68 papers shown
Title
ABC: A Big CAD Model Dataset For Geometric Deep Learning
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch
Albert Matveev
Zhongshi Jiang
Francis Williams
Alexey Artemov
Evgeny Burnaev
M. Alexa
Denis Zorin
Daniele Panozzo
3DPC3DV
83
459
0
15 Dec 2018
Extreme View Synthesis
Extreme View Synthesis
Inchang Choi
Orazio Gallo
Alejandro J. Troccoli
Min H. Kim
Jan Kautz
58
193
0
12 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
2,899
0
10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE3DV
148
1,633
0
06 Dec 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household
  Objects
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Yu Xiang
Dieter Fox
Stan Birchfield
84
657
0
27 Sep 2018
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose
  Estimation
Falling Things: A Synthetic Dataset for 3D Object Detection and Pose Estimation
Jonathan Tremblay
Thang To
Stan Birchfield
62
169
0
18 Apr 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
78
817
0
18 Apr 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,795
0
11 Jan 2018
AI2-THOR: An Interactive 3D Environment for Visual AI
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve
Roozbeh Mottaghi
Winson Han
Eli VanderBilt
Luca Weihs
...
Daniel Gordon
Yuke Zhu
Aniruddha Kembhavi
Abhinav Gupta
Ali Farhadi
LM&Ro
79
1,101
0
14 Dec 2017
Learning a Multi-View Stereo Machine
Learning a Multi-View Stereo Machine
Abhishek Kar
Christian Häne
Jitendra Malik
3DV
68
529
0
17 Aug 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
89
560
0
20 Apr 2017
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision
Yi Zhang
Weichao Qiu
Qi Chen
Xiaolin Hu
Alan Yuille
43
42
0
14 Dec 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
122
2,011
0
07 Aug 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Virtual Worlds as Proxy for Multi-Object Tracking Analysis
Adrien Gaidon
Qiao Wang
Yohann Cabon
E. Vig
77
1,073
0
20 May 2016
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
2,646
0
07 Dec 2015
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Erroll Wood
T. Baltrušaitis
Xucong Zhang
Yusuke Sugano
Peter Robinson
Andreas Bulling
3DHCVBM
50
317
0
21 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
311
4,177
0
26 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
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