FaceLab: Scalable Facial Performance Capture for Visual Effects-Reference-Cited by-同舟云学术

FaceLab: Scalable Facial Performance Capture for Visual Effects

Published:2020-08-11 Issue: Volume: Page:
ISSN:
Container-title:The Digital Production Symposium
language:
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Author:

Andrus Curtis¹,Ahn Junghyun²,Alessi Michele³,Dib Abdallah⁴,Gosselin Philippe⁴,Thébault Cédric⁴,Chevallier Louis⁴,Romeo Marco⁵

Affiliation:

1. Technicolor, Canada

2. Technicolor, USA

3. Mr.X

4. InterDigital, France

5. Technicolor, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3403736.3403938

Reference9 articles.

1. Anyma 2020. Disney’s Anyma. Retrieved June 8 2020 from https://studios.disneyresearch.com/anyma/ Anyma 2020. Disney’s Anyma. Retrieved June 8 2020 from https://studios.disneyresearch.com/anyma/

2. Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses with GANs

3. A Reflectance Model for Computer Graphics

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