# PhysComp

PhysForge treats material-conditioned dynamics from a video diffusion model as references for fitting the physical parameters of 3D assets, so a user-specified material actually changes how an object contacts and deforms. Previously such parameters were largely inferred from appearance, making it hard to assign a material to the same object or to estimate properties from complex interactions between objects and semantic parts. On PhysAssets and Google Scanned Objects it reaches the best CLIP and physical controllability scores for both common and uncommon materials, with average physical controllability 4.3 versus 3.8 for the strongest baseline.

PhysForge treats material-conditioned dynamics from a video diffusion model as references for fitting the physical parameters of 3D assets, so a user-specified material actually changes how an object contacts and deforms. Previously such parameters were largely inferred from appearance, making it hard to assign a material to the same object or to estimate properties from complex interactions between objects and semantic parts. On PhysAssets and Google Scanned Objects it reaches the best CLIP and physical controllability scores for both common and uncommon materials, with average physical controllability 4.3 versus 3.8 for the strongest baseline.