SA-EgoGSActive

SA-EgoGS: Sharpness-Aware Dynamic Gaussian Splatting for High-Fidelity Egocentric Interaction

Sharpness-aware dynamic 3D Gaussian Splatting for robust egocentric scene reconstruction with anti-aliasing and uncertainty-aware densification.

AI-Powered System Engineering3D Computer Vision
01

Overview

SA-EgoGS presents complementary mechanisms that improve the robustness of Gaussian-based dynamic reconstruction under egocentric capture conditions. The framework introduces sharpness-aware densification (SHAD) to prioritize high-frequency supervision in the presence of motion blur, scale-aware opacity capping (SAOC) to stabilize multi-scale alpha compositing, and Mip-style prefiltering (MSP) to reduce aliasing during dynamic rendering. Extensive experiments on HOI4D and EPIC-KITCHENS benchmarks demonstrate consistent improvements in spatial accuracy, perceptual quality, and temporal coherence over state-of-the-art methods.

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Novel contributions

  1. 01

    Sharpness-aware densification (SHAD)

    Prioritizes high-frequency supervision signals during Gaussian densification, counteracting the blur bias inherent in motion-heavy egocentric video.

  2. 02

    Scale-aware opacity capping (SAOC)

    Stabilizes alpha compositing behavior across varying scales by dynamically capping Gaussian opacity based on projected footprint size.

  3. 03

    Mip-style prefiltering (MSP)

    Applies multi-scale prefiltering to Gaussian primitives during rendering, reducing aliasing artifacts in dynamic egocentric scenes.

03

Architecture

SA-EgoGS figure 1
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Related publication

All publications
  • 2026Under Review

    SA-EgoGS: Sharpness-Aware Dynamic Gaussian Splatting for High-Fidelity Egocentric Interaction

    Goshu, H.L., Wakjira, T.G., Lam, K.M. & Fouda, M.M.

Interested in this research?

For code access, collaboration or questions about SA-EgoGS, contact the AI4RISE Lab.