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DeepMVS: Learning Multi-view Stereopsis

DeepMVS: Learning Multi-view Stereopsis

2 April 2018
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
    3DV
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Papers citing "DeepMVS: Learning Multi-view Stereopsis"

32 / 32 papers shown
Title
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
Peizhen Zheng
Longfei Wei
Dongjing Jiang
Jianfei Zhang
3DGS
81
0
0
15 Mar 2025
Textured Gaussians for Enhanced 3D Scene Appearance Modeling
Textured Gaussians for Enhanced 3D Scene Appearance Modeling
Brian Chao
Hung-Yu Tseng
Lorenzo Porzi
Chen Gao
Tuotuo Li
...
Ayush Saraf
Jia-Bin Huang
Johannes Kopf
Gordon Wetzstein
Changil Kim
3DGS
119
5
0
27 Nov 2024
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision
Ruicheng Wang
Sicheng Xu
Cassie Dai
Jianfeng Xiang
Yu Deng
Xin Tong
Jiaolong Yang
TPM
3DH
MDE
119
36
0
24 Oct 2024
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Ziyue Li
Dinesh Manocha
MoE
92
8
0
14 Oct 2024
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction
GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction
Haodong Xiang
Xinghui Li
Xiansong Lai
Wanting Zhang
Zhichao Liao
Kai Cheng
Xueping Liu
Xueping Liu
3DV
3DGS
109
11
0
30 May 2024
SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling
SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modeling
Yijun Yuan
M. Bleier
Andreas Nüchter
80
0
0
13 May 2024
MeshLRM: Large Reconstruction Model for High-Quality Meshes
MeshLRM: Large Reconstruction Model for High-Quality Meshes
Xinyue Wei
Kai Zhang
Sai Bi
Hao Tan
Fujun Luan
Valentin Deschaintre
Kalyan Sunkavalli
Hao Su
Zexiang Xu
AI4CE
154
80
0
18 Apr 2024
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
104
277
0
09 Jan 2020
Playing for Benchmarks
Playing for Benchmarks
Stephan R. Richter
Zeeshan Hayder
V. Koltun
76
470
0
21 Sep 2017
Learning a Multi-View Stereo Machine
Learning a Multi-View Stereo Machine
Abhishek Kar
Christian Häne
Jitendra Malik
3DV
68
528
0
17 Aug 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
452
2,511
0
08 Jun 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
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
3DV
3DPC
MDE
83
1,332
0
13 Mar 2017
Physically-Based Rendering for Indoor Scene Understanding Using
  Convolutional Neural Networks
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
Yinda Zhang
Shuran Song
Ersin Yumer
Manolis Savva
Joon-Young Lee
Hailin Jin
Thomas Funkhouser
AI4CE
SSL
3DV
3DPC
52
262
0
22 Dec 2016
DeMoN: Depth and Motion Network for Learning Monocular Stereo
DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
Alexey Dosovitskiy
Thomas Brox
3DV
MDE
95
701
0
07 Dec 2016
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
255
3,079
0
06 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
481
14,302
0
02 Dec 2016
Learning-Based View Synthesis for Light Field Cameras
Learning-Based View Synthesis for Light Field Cameras
N. Kalantari
Tingxian Wang
R. Ramamoorthi
3DV
124
683
0
09 Sep 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
120
2,008
0
07 Aug 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
733
37,843
0
20 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
82
1,714
0
02 Apr 2016
Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction
Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction
M. Waechter
Mate Beljan
Simon Fuhrmann
Nils Moehrle
Johannes Kopf
Michael Goesele
51
35
0
26 Jan 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
157
5,522
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
61
2,644
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
134
1,386
0
20 Oct 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
112
652
0
22 Jun 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
308
4,174
0
26 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
84
1,436
0
14 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
287
26,181
0
11 Nov 2013
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
128
3,453
0
20 Oct 2012
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