Deep Learning-based Incomplete Regions Estimation and Restoration of 3D Human Face Point Cloud-Reference-Cited by-同舟云学术

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Deep Learning-based Incomplete Regions Estimation and Restoration of 3D Human Face Point Cloud

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)
language:
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Author:

Uddin Kutub¹,Jeong Tae Hyun¹,Oh Byung Tae¹

Affiliation:

1. School of Electronics and Information Engineering, Korea Aerospace University

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9954607/9954630/09954856.pdf?arnumber=9954856

Reference12 articles.

1. Robust repair of polygonal models

2. Polynomial blending in a mesh hole-filling application

3. PU-Net: Point Cloud Upsampling Network

4. Exemplar-based framework for 3D point cloud hole filling

5. PU-GAN: A Point Cloud Upsampling Adversarial Network

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