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.
Neural render- ing in a room: amodal 3d understanding and free-viewpoint rendering for the closed scene composed of pre-captured ob- jects
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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.