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3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields

2023-01-01 · ICCV 2023 1 · Brandon Y. Feng, Hadi AlZayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang

Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle motions from scenes captured by a moving camera, while supporting novel view rendering. We represent the scene with time-varying radiance fields and leverage the Eulerian principle for motion magnification to extract and amplify the variation of the embedding of a fixed point over time. We study and validate our proposed principle for 3D motion magnification using both implicit and tri-plane-based radiance fields as our underlying 3D scene representation. We evaluate the effectiveness of our method on both synthetic and real-world scenes captured under various camera setups.

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Motion Magnification

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