Feeding an S-DeepONet coarse prediction into a video diffusion model trained on the residual reduces PDE solution errors by 82% on cavity flow and 34% on plastic deformation, beating either single-stage model.
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Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
Feeding an S-DeepONet coarse prediction into a video diffusion model trained on the residual reduces PDE solution errors by 82% on cavity flow and 34% on plastic deformation, beating either single-stage model.