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We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and geometrically plausible way.
A space-sweep approach to true multi-image matching
R. T. Collins · 1996
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David Eigen, Christian Puhrsch, and Rob Fergus · 2014
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai kin Wong, and Wang chun Woo · 2015
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Robust reconstruction of indoor scenes
Sungjoon Choi, Q. Zhou, and V. Koltun · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Nicolas Ballas, Li Yao, Chris Pal, and Aaron C. Courville · 2016
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Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 2016
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ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis
Mengqi Ji, Juergen Gall, Haitian Zheng, Yebin Liu, and Lu Fang · 2017
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Learning a Multi-View Stereo Machine
Abhishek Kar, Christian Häne, and Jitendra Malik · 2017
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Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 2017
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Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser · 2017
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Learning Less is More - 6D Camera Localization via 3D Surface Regression
E. Brachmann and C. Rother · 2018
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Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
A Survey on Deep Learning Architectures for Image-based Depth Reconstruction
Hamid Laga · 2019
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Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, and Jan Kautz · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Google Visual Positioning Service
Tilman Reinhardt · 2019
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, and Quoc V. Le · 2019
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Temporally Consistent Depth Estimation in Videos with Recurrent Architectures
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Visualizing the Loss Landscape of Neural Nets
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Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Fangchang Ma and Sertac Karaman · 2018
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VINS-mono: A robust and versatile monocular visual-inertial state estimator
Tong Qin, Peiliang Li, and Shaojie Shen · 2018
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MVDepthNet: Real-time Multiview Depth Estimation Neural Network
Kaixuan Wang and Shaojie Shen · 2018
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MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
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Unsupervised learning of monocular depth estimation and visual odometry with deep feature reconstruction
Huangying Zhan, Ravi Garg, Chamara Saroj Weerasekera, Kejie Li, Harsh Agarwal, and Ian Reid · 2018
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Denis Tananaev, Huizhong Zhou, Benjamin Ummenhofer, and Thomas Brox · 2019
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Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
Rui Wang, Stephen M. Pizer, and Jan-Michael Frahm · 2019
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Enforcing geometric constraints of virtual normal for depth prediction
Wei Yin, Yifan Liu, Chunhua Shen, and Youliang Yan · 2019
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Exploiting temporal consistency for real-time video depth estimation
Haokui Zhang, Chunhua Shen, Ying Li, Yuanzhouhan Cao, Yu Liu, and Youliang Yan · 2019
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From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
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