Learning to be a depth camera for close-range human capture and interaction

Author:

Fanello Sean Ryan1,Keskin Cem2,Izadi Shahram2,Kohli Pushmeet2,Kim David2,Sweeney David2,Criminisi Antonio2,Shotton Jamie2,Kang Sing Bing2,Paek Tim2

Affiliation:

1. Microsoft Research and Istituto Italiano di Tecnologia

2. Microsoft Research

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Self-Supervised Monocular Depth Estimation Based on High-Order Spatial Interactions;IEEE Sensors Journal;2024-02-15

2. Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

3. DEEP LEARNING ANALYSIS ON THE RESULTING IMPACTS OF WEEKLY LOAD TRAINING ON STUDENTS’ BIOLOGICAL SYSTEM;Revista Brasileira de Medicina do Esporte;2023

4. Monocular depth estimation with spatially coherent sliced network;Image and Vision Computing;2022-08

5. Self-Supervised Depth Completion for Active Stereo;IEEE Robotics and Automation Letters;2022-04

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