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Marco Revelant

dblp:334/7531 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation
facial animation
0.612022
Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer · SIGGRAPH Asia 2022
Computer animation and physical simulation › facial animation
facial expression transfer
0.612022
Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer · SIGGRAPH Asia 2022

Methods — techniques the papers use, named apart from their topics

performance capture · 0.6muscle fiber curve representation · 0.6deformation architecture · 0.6
YearPublicationVenuePosition
2022 Animatomy: an Animator-centric, Anatomically Inspired System for 3D Facial Modeling, Animation and Transfer
abstract
We present Animatomy, a novel anatomic+animator centric representation of the human face. Present FACS-based systems are plagued with problems of face muscle separation, coverage, opposition, and redundancy. We, therefore, propose a collection of muscle fiber curves as an anatomic basis, whose contraction and relaxation provide us with a fine-grained parameterization of human facial expression. We build an end-to-end modular deformation architecture using this representation that enables: automatic optimization of the parameters of a specific face from high-quality dynamic facial scans; face animation driven by performance capture, keyframes, or dynamic simulation; interactive and direct manipulation of facial expression; and animation transfer from an actor to a character. We validate our facial system by showing compelling animated results, applications, and a quantitative comparison of our facial reconstruction to ground truth performance capture. Our system is being intensively used by a large creative team on Avatar: The Way of Water. We report feedback from these users as qualitative evaluation of our system.
Byungkuk Choi, Haekwang Eom, Benjamin Mouscadet, Stephen Cullingford, Wan-Duo Kurt Ma, Stefanie Gassel, Suzi Kim, Andrew Moffat, Millicent Maier, Marco Revelant, Joe Letteri, Karan Singh 0004
SIGGRAPH Asia10