BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Seoul
X-LIC-LOCATION:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:18871231T000000
DTSTART:19881009T020000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_258@linklings.com
SUMMARY:SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parame
 tric Generator
DESCRIPTION:Technical Papers\n\nSCULPTOR: Skeleton-Consistent Face Creatio
 n Using a Learned Parametric Generator\n\nQiu, Li, He, Zhang, Zhang...\n\n
 Recent years have seen growing interest in 3D human faces modelling due to
  its wide applications in digital human, character generation and animatio
 n. Existing approaches overwhelmingly emphasized on modeling the exterior 
 shapes, textures and skin properties of faces, ignoring the inherent corre
 lation between inner skeletal structures and appearance. In this paper, we
  present SCULPTOR, 3D face creations with Skeleton Consistency Using a Lea
 rned Parametric facial generaTOR, aiming to facilitate easy creation of bo
 th anatomically correct and visually convincing face models via a hybrid p
 arametric-physical representation. At the core of SCULPTOR is LUCY, the fi
 rst large-scale shape-skeleton face dataset in collaboration with plastic 
 surgeons. Named after the fossils of one of the oldest known human ancesto
 rs, our LUCY dataset contains high-quality Computed Tomography (CT) scans 
 of the complete human head before and after orthognathic surgeries, critic
 al for evaluating surgery results. LUCY consists of 144 scans of 72 subjec
 ts (31 male and 41 female) where each subject has two CT scans taken pre- 
 and post-orthognathic operations.\nBased on our LUCY dataset, we learn a n
 ovel skeleton consistent parametric facial generator, SCULPTOR, which can 
 create the unique and nuanced facial features that help define a character
  and at the same time maintain physiological soundness. Our SCULPTOR joint
 ly models the skull, face geometry and face appearance under a unified dat
 a-driven framework, by separating the depiction of a 3D face into shape bl
 end shape, pose blend shape and facial expression blend shape. SCULPTOR pr
 eserves both anatomic correctness and visual realism in facial generation 
 tasks compared with existing methods. Finally, we showcase the robustness 
 and effectiveness of SCULPTOR in various fancy applications unseen before,
  like archaeological skeletal facial completion, bone-aware character fusi
 on,  skull inference from images, face generation with lipo-Level change a
 nd facial animations, etc.\n\nRegistration Category: FULL ACCESS, EXPERIEN
 CE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\
 nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_258&sess=sess15
 3
END:VEVENT
END:VCALENDAR