3d pose estimation 1biomechanical constraints 1diffusion models 1physics-informed learning 1sign language generation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Physics-Informed Diffusion for Biomechanically Plausible 3D Sign Language Generation
Emanuele Colonna, Moises Diaz, Gennaro Vessio +2
The paper presents PIDiffSign, a diffusion-based model that generates 3D sign language motion from spoken language while enforcing anatomical constraints to ensure realistic and bi…
cs.CV2025
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Pasquale De Marinis, Nicola Fanelli, Raffaele Scaringi +4
Few-shot semantic segmentation aims to segment objects from previously unseen classes using only a limited number of labeled examples. In this paper, we introduce Label Anything, a…