DAMA: Disentangled Body-Anchored Gaussians for Controllable Multi-Layered Avatars
PhysHuman Workshop @ CVPR 2026(Oral Presentation)
DAMA introduces a novel body-anchored Gaussian representation for physically plausible multi-layered avatars.
University of Tübingen · daniel.eskandar@student.uni-tuebingen.de
I am a Master’s student in Machine Learning at the University of Tübingen, in the Real Virtual Humans group led by Prof. Dr. Gerard Pons-Moll. I am interested in 3D Computer Vision and Virtual Humans, with a focus on clothing, human–object interaction, and head avatars. I am supported by the Zuse School ELIZA Research-Oriented Master’s Scholarship.
PhysHuman Workshop @ CVPR 2026(Oral Presentation)
DAMA introduces a novel body-anchored Gaussian representation for physically plausible multi-layered avatars.
Lightweight visualizer for Gaussian head avatars compatible with PhysHead (CVPR 2026), enabling interactive editing with FLAME-driven control, hair dynamics, coloring, cutting, and hairstyle transfer.