3 papers
cs.CV2026
SiGnature: Explicit Motion Diffusion for Stylized Semantic Gesture
Adi Rosenthal, Tomer Koren, Nadav Shaked +2
While recent advances in co-speech gesture generation have achieved impressive rhythmic synchronization, synthesizing gestures that are both semantically meaningful and faithful to…
cs.CV2026
MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
Nathan Sala, Ofir Abramovich, Ariel Shamir +3
Text-to-motion generation has progressed rapidly in recent years, offering an expressive interface for animation and human-computer interaction. However, current models remain brit…
cs.CV2026
Mocap Anywhere: Towards Pairwise-Distance based Motion Capture in the Wild (for the Wild)
Ofir Abramovich, Ariel Shamir, Andreas Aristidou
We introduce a novel motion capture system that reconstructs full-body 3D motion using only sparse pairwise distance (PWD) measurements from body-mounted(UWB) sensors. Using time-o…