collaborators

5 papers

cs.CV2026

Registration-Free Learnable Multi-View Capture of Faces in Dense Semantic Correspondence

Panagiotis P. Filntisis, George Retsinas, Radek Daněček +3

Recent frameworks like ToFu and TEMPEH provide an automated alternative to classical registration pipelines by predicting 3D meshes in dense semantic correspondence directly from c…

cs.CV2026

Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion

Kiran Chhatre, Radek Daněček, Nikos Athanasiou +4

Existing methods for synthesizing 3D human gestures from speech have shown promising results, but they do not explicitly model the impact of emotions on the generated gestures. Ins…

cs.CV2026

CLUTCH: Contextualized Language model for Unlocking Text-Conditioned Hand motion modelling in the wild

Balamurugan Thambiraja, Omid Taheri, Radek Danecek +3

Hands play a central role in daily life, yet modeling natural hand motions remains underexplored. Existing methods that tackle text-to-hand-motion generation or hand animation capt…

cs.GR2026

Supervising 3D Talking Head Avatars with Analysis-by-Audio-Synthesis

Radek Daněček, Carolin Schmitt, Senya Polikovsky +1

In order to be widely applicable, speech-driven 3D head avatars must articulate their lips in accordance with speech, while also conveying the appropriate emotions with dynamically…

cs.CV2025

SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis

George Retsinas, Panagiotis P. Filntisis, Radek Danecek +4

While existing methods for 3D face reconstruction from in-the-wild images excel at recovering the overall face shape, they commonly miss subtle, extreme, asymmetric, or rarely obse…