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Direct time-of-flight (dToF) sensors are promising for next-generation on-device 3D sensing.
The rendering equation
James T Kajiya · 1986
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Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
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Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
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Microsoft kinect sensor and its effect
Zhengyou Zhang · 2012
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Single-photon imaging in complementary metal oxide semiconductor processes
E Charbon · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Matterport3d: Learning from rgb-d data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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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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On wasserstein two-sample testing and related families of nonparametric tests
Aaditya Ramdas, Nicolás García Trillos, and Marco Cuturi · 2017
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Deep ordinal regression network for monocular depth estimation
Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, and Dacheng Tao · 2018
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Tackling 3d tof artifacts through learning and the flat dataset
Qi Guo, Iuri Frosio, Orazio Gallo, Todd Zickler, and Jan Kautz · 2018
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Interiornet: Mega-scale multi-sensor photo-realistic indoor scenes dataset
Wenbin Li, Sajad Saeedi, John McCormac, Ronald Clark, Dimos Tzoumanikas, Qing Ye, Yuzhong Huang, Rui Tang, and Stefan Leutenegger · 2018
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Single-photon 3d imaging with deep sensor fusion
David B Lindell, Matthew O’Toole, and Gordon Wetzstein · 2018
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Geonet: Unsupervised learning of dense depth, optical flow and camera pose
Zhichao Yin and Jianping Shi · 2018
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Guided super-resolution as pixel-to-pixel transformation
Riccardo de Lutio, Stefano D’aronco, Jan Dirk Wegner, and Konrad Schindler · 2019
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Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera
Fangchang Ma, Guilherme Venturelli Cavalheiro, and Sertac Karaman · 2019
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Modeling and analysis of a direct time-of-flight sensor architecture for lidar applications
Preethi Padmanabhan, Chao Zhang, and Edoardo Charbon · 2019
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Deep end-to-end alignment and refinement for time-of-flight rgb-d module
Di Qiu, Jiahao Pang, Wenxiu Sun, and Chengxi Yang · 2019
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The replica dataset: A digital replica of indoor spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, et al · 2019
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Perceptual deep depth super-resolution
Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh, Evgeny Burnaev, and Denis Zorin · 2019
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Depth completion from sparse lidar data with depth-normal constraints
Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, and Hongsheng Li · 2019
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https://www.apple.com/newsroom/2020/03/apple-unveils-new-ipad-pro-with-lidar-scanner-and-trackpad-support-in-ipados/
iphone dtof sensor · 2020
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Yohann Cabon, Naila Murray, and Martin Humenberger · 2020
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Dynamic view synthesis from dynamic monocular video
Chen Gao, Ayush Saraf, Johannes Kopf, and Jia-Bin Huang · 2021
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Penet: Towards precise and efficient image guided depth completion
Mu Hu, Shuling Wang, Bin Li, Shiyu Ning, Li Fan, and Xiaojin Gong · 2021
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Temporally consistent online depth estimation in dynamic scenes
Zhaoshuo Li, Wei Ye, Dilin Wang, Francis X Creighton, Russell H Taylor, Ganesh Venkatesh, and Mathias Unberath · 2021
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Mulls: Versatile lidar slam via multi-metric linear least square
Yue Pan, Pengchuan Xiao, Yujie He, Zhenlei Shao, and Zesong Li · 2021
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Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding
Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Angel Bautista, Nathan Paczan, Russ Webb, and Joshua M Susskind · 2021
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Consistent video depth estimation
Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, and Johannes Kopf · 2020
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Megapixel time-gated spad image sensor for 2d and 3d imaging applications
Kazuhiro Morimoto, Andrei Ardelean, Ming-Lo Wu, Arin Can Ulku, Ivan Michel Antolovic, Claudio Bruschini, and Edoardo Charbon · 2020
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Softmax splatting for video frame interpolation
Simon Niklaus and Feng Liu · 2020
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Disambiguating monocular depth estimation with a single transient
Mark Nishimura, David B Lindell, Christopher Metzler, and Gordon Wetzstein · 2020
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Non-local spatial propagation network for depth completion
Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, and In So Kweon · 2020
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Don’t forget the past: Recurrent depth estimation from monocular video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, and Luc Van Gool · 2020
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Spadnet: deep rgb-spad sensor fusion assisted by monocular depth estimation
Zhanghao Sun, David B Lindell, Olav Solgaard, and Gordon Wetzstein · 2020
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Raft-3d: Scene flow using rigid-motion embeddings
Zachary Teed and Jia Deng · 2021
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The temporal opportunist: Self-supervised multi-frame monocular depth
Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel Brostow, and Michael Firman · 2021
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Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, and Jie Zhou · 2021
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Consistent depth of moving objects in video
Zhoutong Zhang, Forrester Cole, Richard Tucker, William T Freeman, and Tali Dekel · 2021
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Basicvsr++: Improving video super-resolution with enhanced propagation and alignment
Kelvin CK Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy · 2022
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The implicit values of a good hand shake: Handheld multi-frame neural depth refinement
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Learning graph regularisation for guided super-resolution
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Multi-view monocular depth and uncertainty prediction with deep sfm in dynamic environments
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Deep depth completion: A survey
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Deltar: Depth estimation from a light-weight tof sensor and rgb image
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Vrt: A video restoration transformer
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Floatingfusion: Depth from tof and image-stabilized stereo cameras
Andreas Meuleman, Hakyeong Kim, James Tompkin, and Min H Kim · 2022
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Toward practical monocular indoor depth estimation
Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, and Shuochen Su · 2022
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