Neural Parametric Human Hand Modeling with Point Cloud Representation-Reference-Cited by-同舟云学术

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Neural Parametric Human Hand Modeling with Point Cloud Representation

Published:2024-05-30 Issue: Volume:33 Page:804-813
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Yang Jian¹^ORCID,Quan Weize¹^ORCID,Shen Zhen²^ORCID,Yan Dong-Ming¹^ORCID,Wu Huai-Yu¹^ORCID

Affiliation:

1. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Science & School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Science & Cloud Computing Center, Chinese Academy of Science, beijing, China

Funder

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658012

Reference63 articles.

1. Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

2. Rohan Chabra, Jan E Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, and Richard Newcombe. 2020. Deep local shapes: learning local sdf priors for detailed 3d reconstruction. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXIX 16. Springer, 608--625.

3. Implicit Neural Head Synthesis via Controllable Local Deformation Fields

4. Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering

5. MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image

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