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DTSTAMP:20260114T163648Z
LOCATION:Meeting Room C4.7\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T110000
DTEND;TZID=Australia/Melbourne:20231215T130000
UID:siggraphasia_SIGGRAPH Asia 2023_sess113_crs_122@linklings.com
SUMMARY:Next Generation 3D Face Models
DESCRIPTION:Prashanth Chandran (Disney Research|Studios) and Prashanth Cha
 ndran (DisneyResearch|Studios)\n\nHaving a compact, expressive and artist 
 friendly way to represent and manipulate human faces has been of prime int
 erest to the visual effects community for the past several decades as face
  models play a very important role in many face capture workflows. In this
  short course, we go over the evolution of 3D face models used to model an
 d animate facial identity and expression in the computer graphics communit
 y, and discuss how the recent emergence of deep face models is transformin
 g this landscape by enabling new artistic choices. In this new course, we 
 will take the audience through the evolution of face models, starting with
  simple blendshape models introduced in the 1980s; that continue to be ext
 remely popular even today, to recent deep shape models that utilize neural
  networks to represent and manipulate face shapes in an artist friendly fa
 shion. As the course is meant to be beginner friendly, the course will com
 mence with a quick introduction to non-neural parametric shape models star
 ting with linear blendshape and morphable models. We will then switch focu
 s to deep shape models, particularly those that offer intuitive control to
  artists. We will discuss multiple variants of such deep face models that 
 i) allow semantic control, ii) are agnostic to the underlying topology of 
 the manipulated shape, and iii) provide the ability to explicitly model a 
 sequence of 3D shapes or animations. Applications that will be discussed i
 nclude face shape synthesis, identity and expression interpolation, rig ge
 neration, performance retargeting, animation synthesis and more.\n\nRegist
 ration Category: Full Access\n\n
URL:https://asia.siggraph.org/2023/full-program?id=crs_122&sess=sess113
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