{"slug": "physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised", "title": "PhysSkin++: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning", "summary": "Researchers introduced PhysSkin++, a physics-informed framework that learns continuous neural skinning fields from static geometries to build a compact deformation subspace, addressing the challenge of generalizing real-time physics-based animation across diverse 3D shapes and spatial discretizations. The work is presented as a paper describing a self-supervised neural skinning approach for physics-based animation.", "body_md": "Generalizing real-time physics-based animation across diverse 3D shapes and spatial discretizations remains challenging. In this paper, we introduce PhysSkin++, a physics-informed framework that learns continuous neural skinning fields from static geometries to construct compact deformation subspace", "url": "https://wpnews.pro/news/physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised", "canonical_source": "https://aiflash.com/news/136453/", "published_at": "2026-10-21 02:00:01+00:00", "updated_at": "2026-10-21 02:19:56.915293+00:00", "lang": "en", "topics": ["machine-learning", "neural-networks", "ai-research", "artificial-intelligence"], "entities": ["PhysSkin++"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised", "markdown": "https://wpnews.pro/news/physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised.md", "text": "https://wpnews.pro/news/physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised.txt", "jsonld": "https://wpnews.pro/news/physskin-real-time-and-generalizable-physics-based-animation-via-self-supervised.jsonld"}}