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Patent Searching and Data


Title:
GENERATING THREE-DIMENSIONAL FACIAL DATA
Document Type and Number:
WIPO Patent Application WO/2021/008444
Kind Code:
A1
Abstract:
Generating 3D facial data using a neural network. According to a first aspect, this specification describes a computer implemented method of generating three-dimensional facial data using a generator neural network, the method comprising: inputting, into the generator neural network, initialization data, the initialization data comprising noise data (2.1); processing the initialization data through a plurality of neural network layers of the generator neural network to generate UV maps in a plurality of modalities, the UV maps comprising a shape UV map of a face, a texture UV map of the face, and a normal UV map of the face (2.2); and outputting, from the generator neural network, facial data comprising the UV maps in the plurality of modalities (2.3). The generator neural network (302) comprises: an initial set (320) of neural network layers configured to generate a plurality of feature maps (322) from the initialization data; a first branch (326) of neural network layers configured to generate the shape UV map (314) of the face from one or more of the plurality of feature maps (322); a second branch (328) of neural network layers configured to generate the texture UV map (316) of the face from one or more of the plurality of feature maps (322); and a third branch (330) of neural network layers configured to generate the normal UV map (318) of the face from one or more of the plurality of feature maps (322).

Inventors:
GECER BARIC (GB)
ZAFEIRIOU STEFANOS (GB)
Application Number:
PCT/CN2020/101206
Publication Date:
January 21, 2021
Filing Date:
July 10, 2020
Export Citation:
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Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06T17/00
Foreign References:
CN108805977A2018-11-13
US20170046563A12017-02-16
US20180365874A12018-12-20
Other References:
DENG, JIANKANG ET AL.: "UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition", 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 17 December 2018 (2018-12-17), pages 7093 - 7100, XP033473628, DOI: 327A
GUI, JIAMIN ET AL.: "Real-time 3D Facial Subtle Expression Control Based on Blended Normal Maps", 2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, 12 May 2016 (2016-05-12), XP032899776, DOI: 20200928161512A
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