3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields
Abstract
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.
Cite
Text
Feng et al. "3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields." International Conference on Computer Vision, 2023.Markdown
[Feng et al. "3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields." International Conference on Computer Vision, 2023.](https://mlanthology.org/iccv/2023/feng2023iccv-3d/)BibTeX
@inproceedings{feng2023iccv-3d,
title = {{3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields}},
author = {Feng, Brandon Y. and Alzayer, Hadi and Rubinstein, Michael and Freeman, William T. and Huang, Jia-bin},
booktitle = {International Conference on Computer Vision},
year = {2023},
pages = {9837-9846},
url = {https://mlanthology.org/iccv/2023/feng2023iccv-3d/}
}