Thabo Beeler

GNM redefines the landscape of head modeling by integrating intricate anatomical details, achieving superior geometric fidelity that existing models overlook.

Temperature sampling can enhance mode diversity in diffusion models without sacrificing sample quality, thanks to a novel variance-corrective technique.

Imagine telepresence where your avatar convincingly blends into any environment, relit in real-time based on the scene's actual lighting, all from a single headset.

Reconstructing dynamic hand-object interactions from monocular video can be 6x faster and significantly more accurate by ditching heavy neural representations for a revived Sum-of-Gaussians approach.

AI-generated videos can now respect physics, thanks to a framework that uses a physical simulator to guide diffusion models, resulting in more realistic and coherent motion.