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.
@article{arxiv.2308.03757,
title = {3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields},
author = {Brandon Y. Feng and Hadi Alzayer and Michael Rubinstein and William T. Freeman and Jia-Bin Huang},
journal= {arXiv preprint arXiv:2308.03757},
year = {2023}
}
Comments
ICCV 2023. See the project page at https://3d-motion-magnification.github.io