20 citations · 20 across the 2 of their papers we have counts for
3 papers · 1 filter
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…
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…
EMOCA: Emotion Driven Monocular Face Capture and Animation
Radek Danecek, Michael J. Black, Timo Bolkart
As 3D facial avatars become more widely used for communication, it is critical that they faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3…