A diffusion model generates natural facial motions from user-specified multi-track timelines, using TICC-based frame-level action interval annotation for training and evaluation.
Seamless human motion composition with blended posi- tional encodings
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Exploring Timeline Control for Facial Motion Generation
A diffusion model generates natural facial motions from user-specified multi-track timelines, using TICC-based frame-level action interval annotation for training and evaluation.