New framework models visible articulation for realistic 3D facial animation

Researchers have developed a new framework for generating realistic 3D facial animations from speech, focusing on visible articulatory dynamics. The system, called Speech--Articulatory Memory (SAM) and Topology-aware Articulatory Composition (TAC), models speech through directional articulatory motions like spreading, opening, and protrusion. Experiments on datasets like VOCASET and TFHP demonstrate state-of-the-art performance in reconstruction metrics and improved lip articulation accuracy, with user studies confirming enhanced lip sync and realism. AI

IMPACT This research could lead to more realistic virtual avatars and improved human-computer interaction through enhanced facial animation.

RANK_REASON The cluster contains a research paper detailing a novel framework for speech-driven 3D facial animation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• SAM
• Seeing Speech: Learning Visible Articulatory Dynamics for Speech-Driven 3D Facial Animation
• Speech--Articulatory Memory
• TFHP
• Topology-aware Articulatory Composition
• VOCASET

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →