Learning to Estimate and Refine Fluid Motion with Physical Dynamics. (arXiv:2206.10480v2 [cs.LG] UPDATED)

Web: http://arxiv.org/abs/2206.10480

Extracting information on fluid motion directly from images is challenging.
Fluid flow represents a complex dynamic system governed by the Navier-Stokes
equations. General optical flow methods are typically designed for rigid body
motion, and thus struggle if applied to fluid motion estimation directly.
Further, optical flow methods only focus on two consecutive frames without
utilising historical temporal information, while the fluid motion (velocity
field) can be considered a continuous trajectory constrained by time-dependent
partial differential equations (PDEs). This discrepancy has …

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