Correspondence attention for facial appearance simulation

Author:

Fang XiORCID,Kim Daeseung,Xu XuanangORCID,Kuang TianshuORCID,Lampen NathanORCID,Lee Jungwook,Deng Hannah H.ORCID,Liebschner Michael A.K.,Xia James J.,Gateno Jaime,Yan PingkunORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference44 articles.

1. Cao, A.Q., Puy, G., Boulch, A., Marlet, R., 2021. PCAM: Product of cross-attention matrices for rigid registration of point clouds. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 13229–13238.

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3. Deep learning-based facial appearance simulation driven by surgically planned craniomaxillofacial bony movement;Fang,2022

4. Soft-tissue driven craniomaxillofacial surgical planning;Fang,2023

5. SOFA: A multi-model framework for interactive physical simulation;Faure,2012

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