3 papers
cs.SD2026
ArtBoost: Synthetic Articulatory Data Augmentation for Acoustic-to-Articulatory Inversion
Hyung Kyu Kim, Byungchan Hwang, Hak Gu Kim
Recent acoustic-to-articulatory inversion (AAI) models rely on electromagnetic articulography (EMA) data, which are costly and limited in scale. To address this limitation, we prop…
cs.CV2025
MemoryTalker: Personalized Speech-Driven 3D Facial Animation via Audio-Guided Stylization
Hyung Kyu Kim, Sangmin Lee, Hak Gu Kim
Speech-driven 3D facial animation aims to synthesize realistic facial motion sequences from given audio, matching the speaker's speaking style. However, previous works often requir…
cs.CV2025
Learning Phonetic Context-Dependent Viseme for Enhancing Speech-Driven 3D Facial Animation
Hyung Kyu Kim, Hak Gu Kim
Speech-driven 3D facial animation aims to generate realistic facial movements synchronized with audio. Traditional methods primarily minimize reconstruction loss by aligning each f…