Browse State-of-the-Art › Motion Magnification
Motion Magnification
12 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Motion magnification is a technique that acts like a microscope for visual motion. It can amplify subtle motions in a video sequence, allowing for visualization of deformations that would otherwise be invisible. To achieve motion magnification, we need to accurately measure visual motions, and group the pixels to be modified.
There are different approaches to motion magnification, such as Lagrangian and Eulerian methods. Lagrangian methods track the trajectories of moving objects and exaggerate them, while Eulerian methods manipulate the motions at fixed positions. Eulerian methods can be further divided into linear and phase-based methods. Linear methods apply a temporal bandpass filter to boost the linear term of a Taylor series expansion of the displacement function, while phase-based methods use complex wavelet transforms to manipulate the phase of the signal.
Motion magnification has various applications, such as measuring the human pulse, visualizing the heat plume of candles, revealing the oscillations of a wine glass, and detecting structural defects.
Description from the archive archive 2025-07-28.
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Most implemented papers archive 2025-07-28
12 shown of 12 papers with code (38 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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12 Mar 2024 2 repositories listed Syntology ran 8 of 14 samples · 6 unverifiedTo this end, we present FD4MM, a new paradigm of Frequency Decoupling for Motion Magnification with a Multi-level Isomorphic Architecture to capture multi-level high-frequency details and a stable low-frequency…
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7 Dec 2023 2 repositories listedThen, we introduce a novel dynamic filter that eliminates noise cues and preserves critical features in the motion magnification and amplification generation phases.
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8 Apr 2018 2 repositories listedWe show that the learned filters achieve high-quality results on real videos, with less ringing artifacts and better noise characteristics than previous methods.
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25 Jun 2024 1 repository listedSecondly, we employ efficient channel attention modules in the local-spatial stream to make the network focus on facial regions that are highly relevant to micro-expressions.
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19 Feb 2024 1 repository listedIn this work, we propose a dual-camera system consisting of an event camera and a conventional RGB camera for video motion magnification, providing temporally-dense information from the event stream and spatially-dense…
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7 Jul 2023 1 repository listedTo validate the proposed robotic US system for imaging arteries, experiments are carried out on volunteers' carotid and radial arteries.
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20 Feb 2023 1 repository listedThe goal of video motion magnification techniques is to magnify small motions in a video to reveal previously invisible or unseen movement.
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1 Jan 2023 1 repository listedBut small motions are prone to noise, illumination changes, large motions, etc.
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15 Apr 2022 1 repository listedIn this paper, we propose a novel approach for local Lagrangian motion magnification of facial micro-motions.
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15 Dec 2020 1 repository listedA majority of methods for video frame interpolation compute bidirectional optical flow between adjacent frames of a video, followed by a suitable warping algorithm to generate the output frames.
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10 Sep 2018 1 repository listedWe design these complex filters to resemble complex Gabor filters, typically employed for phase-information extraction.
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13 Apr 2017 1 repository listedIn these contexts there is often large motion present which severely distorts current video amplification methods that magnify change linearly.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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