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  Learning an Animatable Detailed 3D Face Model from In-the-Wild Images

Feng, Y., Feng, H., Black, M. J., & Bolkart, T. (2021). Learning an Animatable Detailed 3D Face Model from In-the-Wild Images. ACM Transactions on Graphics, 40(4): 88. doi:10.1145/3450626.3459936.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-78DA-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-78DB-8
Genre: Journal Article

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Locator:
https://doi.org/10.1145/3450626.3459936 (Publisher version)
Description:
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OA-Status:
Hybrid

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 Creators:
Feng, Yao1, 2, Author           
Feng, Haiwen1, Author           
Black, Michael J.1, Author                 
Bolkart, Timo1, Author           
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2021-07-192021-08
 Publication Status: Issued
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1145/3450626.3459936
BibTex Citekey: Feng:SIGGRAPH:2021
 Degree: -

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Title: ACM Transactions on Graphics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Association for Computing Machinery
Pages: - Volume / Issue: 40 (4) Sequence Number: 88 Start / End Page: - Identifier: ISSN: 0730-0301
CoNE: https://pure.mpg.de/cone/journals/resource/954925533022