Physics-Guided Surface and Volume Gaussians for Clear Reconstruction through Smoke

Recovering a clear scene from multiview observations of moving smoke is difficult because visible images entangle persistent surfaces with a transient participating medium. Thermal observations provide complementary structural cues, but persistent surfaces and dynamic smoke have different physical supports that call for different representations. We introduce , a framework guided by physics that models the scene with 2D Gaussian surfaces constrained by thermal observations and deformable 3D Gaussian smoke. A unified renderer composites both representations along each viewing ray, allowing their interaction to be learned consistently. To recover appearance lost during surface and smoke separation, we further use the estimated smoke contribution to guide the restoration of visible detail. Experiments on scenes with smoke show substantial improvements in the reconstruction of clear scenes across image quality metrics, together with a more compact surface representation. These results highlight the value of matching scene representations and detail recovery to the physical structure of observations through smoke.