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_421@linklings.com
SUMMARY:Reconstructing Personalized Semantic Facial NeRF Models From Monoc
 ular Video
DESCRIPTION:Technical Papers\n\nReconstructing Personalized Semantic Facia
 l NeRF Models From Monocular Video\n\nGao, Zhong, Xiang, Hong, Guo...\n\nW
 e present a novel semantic model for human head defined with neural radian
 ce field. The 3D-consistent head model consist of a set of disentangled an
 d interpretable bases, and can be driven by low-dimensional expression coe
 fficients. Thanks to the powerful representation ability of neural radianc
 e field, the constructed model can represent complex facial attributes inc
 luding hair, wearings, which can not be represented by traditional mesh bl
 endshape. To construct the personalized semantic facial model, we propose 
 to define the bases as several multi-level voxel fields. With a short mono
 cular RGB video as input, our method can construct the subject's semantic 
 facial NeRF model with only ten to twenty minutes, and can render a photo-
 realistic human head image in tens of miliseconds with a given expression 
 coefficient and view direction. With this novel representation, we apply i
 t to many tasks like facial retargeting and expression editing. Experiment
 al results demonstrate its strong representation ability and training/infe
 rence speed.\n\nRegistration Category: FULL ACCESS, EXPERIENCE PLUS ACCESS
 , EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PE
 RSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_421&sess=sess15
 3
END:VEVENT
END:VCALENDAR