DIMNet: Dense implicit function network for 3D human body reconstruction-Reference-Cited by-同舟云学术

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DIMNet: Dense implicit function network for 3D human body reconstruction

Published:2021-08 Issue: Volume:98 Page:1-10
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Zhang Shufang^ORCID,Liu Jiang,Liu Yuhong^ORCID,Ling Nam^ORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference38 articles.

1. Modeling 3D human body with a smart vest;Haocan;Computers & Graphics,2018

2. 3-D reconstruction of human body shape from a single commodity depth camera;Li;IEEE Trans Multimedia,2019

3. Real-time, full 3-d reconstruction of moving foreground objects from multiple consumer depth cameras;Alexiadis;IEEE Trans Multimedia,2013

4. Multi-garment net: Learning to dress 3d people from images;Bhatnagar,2019

5. Deephuman: 3d human reconstruction from a single image;Zheng,2019

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1. Human Gait Detection Method Based on Binocular Vision for Virtual Reality Omnidirectional Treadmill;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. Optimizing deep learning architectures for novel view synthesis: Investigating the impact of NeRF MLP parameters on complex scenes;International Journal of Information Technology;2023-09-21

3. Multi-View High Precise 3D Human Body Reconstruction Method for Virtual Fitting;International Journal of Pattern Recognition and Artificial Intelligence;2022-12-15

4. Design of a multi-sensor information acquisition system for mannequin reconstruction and human body size measurement under clothes;Textile Research Journal;2022-04-20

5. Super-Resolution 3D Human Shape from a Single Low-Resolution Image;Lecture Notes in Computer Science;2022

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