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cs.CV2025
GeoDiffMM: Geometry-Guided Conditional Diffusion for Motion Magnification
Xuedeng Liu, Jiabao Guo, Zheng Zhang +3
Video Motion Magnification (VMM) amplifies subtle macroscopic motions to a perceptible level. Recently, existing mainstream Eulerian approaches address amplification-induced noise…
cs.CV2024★ 2 cited
Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture
Fei Wang, Dan Guo, Kun Li +2
Video Motion Magnification (VMM) aims to reveal subtle and imperceptible motion information of objects in the macroscopic world. Prior methods directly model the motion field from…
cs.CV2023
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
Fei Wang, Dan Guo, Kun Li +1
Video Motion Magnification (VMM) aims to break the resolution limit of human visual perception capability and reveal the imperceptible minor motion that contains valuable informati…