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Search: “Unimed”

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UniMate: One Unified Model to Animate Diverse Skeletons

Researchers introduce UniMate, a topology-aware diffusion transformer generating text-driven motion for arbitrary 3D skeletons without per-skeleton retraining.

UniMate is a unified foundation model that synthesizes articulated motion for arbitrary skeletons from a rigged 3D asset and a text prompt, with no test-time optimization or per-skeleton fine-tuning. It uses a topology-aware diffusion transformer combining graph-aware attention bias, a spectral rotary position embedding generalizing RoPE via the graph Laplacian, and a rest-pose topological conditioner. Trained on UniML3D, a curated set of 13,006 motion sequences spanning bipedal to serpentine skeletons, it outperforms state-of-the-art baselines and supports zero-shot cross-topology transfer, in-betweening, and text-guided editing.

arXiv cs.AI / cs.LG / cs.CL · 11d agoAI research

UniMate: One Unified Model to Animate Diverse Skeletons

UniMate is a topology-aware diffusion transformer generating articulated motion for arbitrary rigged skeletons from text, trained on 13,006 motion sequences.

UniMate is a unified foundation model that animates arbitrary rigged 3D skeletons from an asset and text prompt with no test-time optimization or per-skeleton retraining. It uses a topology-aware diffusion transformer combining graph-aware attention bias from joint relations and geodesic distances, a spectral rotary position embedding generalizing RoPE to kinematic trees via the graph Laplacian, and a global topological conditioner. The accompanying UniML3D dataset spans 13,006 motion sequences across bipedal, quadrupedal, avian, marine, insectoid, serpentine, and articulated rigid-object skeletons; the model outperforms baselines and supports zero-shot cross-topology transfer, in-betweening, expansion, and text-guided editing.

Hugging Face daily papers · 12d agoAI research

Chinese and Russian spies stepping up cyberattacks, German companies report

Bitkom survey finds nearly 40% of attacked German companies attribute incidents to foreign intelligence services, mainly China and Russia, costing up to $240B.

A Bitkom survey of 1,003 German companies with at least 10 employees found nearly four in 10 firms hit by data theft, espionage, or sabotage attributed at least one incident to a foreign intelligence service, up from 28% last year and 7% in 2023. China was the most cited source, named by more than half of affected companies, followed by Russia and Iran at roughly one in ten. Bitkom estimated cyberattacks cost German businesses $186-240 billion over the past year, with ransomware the most common attack type, affecting one in four companies. Recent incidents cited include breaches at Lidl, billing provider Unimed, and the Dresden State Art Collections.

The Record · 19d agoThreat actor