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Revisiting Learning-based Video Motion Magnification for Real-time Processing
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye.
Learning-based Axial Video Motion Magnification
In this work, we focus on improving legibility by proposing a new concept, axial motion magnification, which magnifies decomposed motions along the user-specified direction.
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
The key idea is to enrich the audio features with visual information by learning to align audio to visual latent space.
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