The paper introduces a new framework for speech‑driven 3D facial animation that explicitly models visible articulatory dynamics. It uses a Speech‑Articulatory Memory (SAM) to link speech to three directional articulatory motions—spreading, opening, and protrusion—under phonetic context, and a Topology‑aware Articulatory Composition (TAC) to integrate these motions into surface‑consistent facial motion. Experiments on VOCASET and TFHP demonstrate state‑of‑the‑art reconstruction quality and improved lip articulation metrics, with a user study confirming better lip sync and realism.
By Hyung Kyu Kim, Byungchan Hwang, Hak Gu Kim
KoUniTalk is a lightweight, articulation‑centered benchmark that unifies Korean and English 3D talking‑face datasets onto a single mesh topology. By retargeting VOCASET and Korean speech‑based 3D data to a shared 1,176‑vertex template, it reduces output dimensionality from tens of thousands to 3,528 dimensions, focusing on the mouth and adjacent lower‑face regions. The benchmark includes 22 speakers, 4,978 sequences, and 642,781 frames, enabling controlled speech‑driven facial articulation training and cross‑dataset evaluation in a compact, identity‑neutral space.
By Hyunjung Chung, Unsang Park
arXiv:2609.38019v1 Announce Type: new
Abstract: We present RGOR (Reference-Grounded Oral Refinement), an audio-driven lip-sync framework that renders the mouth of the specific person being dubbed rat...
By Bangxun Tang
arXiv:2609.18632v1 Announce Type: new
Abstract: Multi-modal talking avatar synthesis aims to generate realistic talking videos from a reference portrait and speech. Despite rapid progress in diffusio...
By Qilin Wang, Mingyu Li, Hao Tang
arXiv:2608. 05218v1 Announce Type: new Abstract: 3D Gaussian Splatting (3DGS) enables fast, photorealistic talking-head rendering, yet accurate lip articulation remains elusive: mouth motion is often over-smoothed and may violate hard articulatory constraints such as bilabial closures, producing the notorious ``leaky mouth'' artifact.
By Ao Fu, Yi Zhou
Multi-modal talking avatar synthesis aims to generate realistic talking videos from a reference portrait and speech. Despite rapid progress in diffusion-based methods, existing approaches still strugg...