AI RESEARCH
GeoDiffMM: Geometry-Guided Conditional Diffusion for Motion Magnification
arXiv CS.CV
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ArXi:2512.08325v2 Announce Type: replace Video Motion Magnification (VMM) amplifies subtle macroscopic motions to a perceptible level. Recently, existing mainstream Eulerian approaches address amplification-induced noise via decoupling representation learning such as texture, shape and frequency schemes, but they still struggle to mitigate the interference of photon noise on true micro-motion when motion displacements are very small.