mlsanityData to 14 Oct 2026

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

arXiv 2308.03757 ↗First posted 7 Aug 2023cs.CVcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 40 of its 68 references that are in the map. First posted on arXiv 7 Aug 2023.

Builds on

40 of 68 references.

References · 40

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28 more
  1. 2020Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenescited by 751
  2. 2023K-Planes: Explicit Radiance Fields in Space, Time, and Appearancecited by 746
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  18. 2023Progressively Optimized Local Radiance Fields for Robust View Synthesiscited by 103
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  20. 2021Learning Neural Light Fields with Ray-Space Embedding Networkscited by 49
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 2; 2026: 1.

7 papers.