HOGS renders physically plausible human-object interactions from sparse views by optimizing dynamic 3D Gaussians with contact/separation losses guided by pre-trained pose refiner and contact predictor modules, claiming SOTA quality and efficiency.
I’m hoi: Inertia-aware monocular capture of 3d human-object interac- tions
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Physically Plausible Human-Object Rendering from Sparse Views via 3D Gaussian Splatting
HOGS renders physically plausible human-object interactions from sparse views by optimizing dynamic 3D Gaussians with contact/separation losses guided by pre-trained pose refiner and contact predictor modules, claiming SOTA quality and efficiency.