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April 10, 2026IEEE Transactions on Visualization and Computer Graphics0 citations

Deformable Gaussian Splatting for Efficient Wireless Radiance Field Rendering

Deformable 2D Gaussian Splatting for Efficient Wireless Radiance Field Rendering

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Authors

MLMufan LiuShanghai Jiao Tong UniversityCZCixiao ZhangShanghai Jiao Tong UniversityQYQi YangUniversity of Missouri–Kansas City

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Overview

Introduces a new framework to enhance wireless radiance field reconstruction, improving efficiency in communication applications.

Key Points

  • The aim is to develop an efficient method for modeling wireless radiance fields to improve tasks such as localization and channel estimation.
  • Introduced SwiftWRF, utilizing deformable 2D Gaussian splatting for WRF synthesis.
  • Employed CUDA acceleration for real-time rasterization at over 100k FPS.
  • Integrated a lightweight MLP to model 2D Gaussian deformations due to mobility.
  • Achieved WRF spectral reconstruction up to 500x faster than existing methods.
  • Significantly improved signal quality in predictions for angle-of-arrival and received signal strength.
  • Demonstrated success in both real-world and synthetic indoor environments.
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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69d892d16c1944d70ce0400fhttps://doi.org/10.1109/tvcg.2026.3681115
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