English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Given an arbitrary audio clip, audio-driven 3D facial animation aims togenerate lifelike lip motions and facial expressions for a 3D head. Existingmethods typically rely on training their models using limited public 3Ddatasets that contain a restricted number of audio-3D scan pairs. Consequently,their generalization capability remains limited. In this paper, we propose anovel method that leverages in-the-wild 2D talking-head videos to train our 3Dfacial animation model. The abundance of easily accessible 2D talking-headvideos equips our model with a robust generalization capability. By combiningthese videos with existing 3D face reconstruction methods, our model excels ingenerating consistent and high-fidelity lip synchronization. Additionally, ourmodel proficiently captures the speaking styles of different individuals,allowing it to generate 3D talking-heads with distinct personal styles.Extensive qualitative and quantitative experimental results demonstrate thesuperiority of our method.

Audio-Driven 3D Facial Animation from In-the-Wild Videos