AquaFuse: Waterbody Fusion for Physics-Guided View Synthesis of Underwater Scenes

In this letter, we introduce the idea of AquaFuse, a physics-based method for synthesizing <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">waterbody properties</i> in underwater imagery. We formulate a closed-form solution for waterbody fusion that facilitates realistic data augmentation and geometrically consistent underwater scene rendering. AquaFuse leverages the physical characteristics of light propagation underwater to synthesize the waterbody from one scene to the object contents of another. Unlike data-driven style transfer methods, AquaFuse preserves the depth consistency and object geometry in an input scene. We validate this unique feature by comprehensive experiments over diverse sets of underwater scenes. We find that the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AquaFused images</i> preserve over 94% depth consistency and 90–95% structural similarity of the input scenes. We also demonstrate that it generates accurate 3D view synthesis by preserving object geometry while adapting to the inherent waterbody fusion process. AquaFuse opens up a new research direction in data augmentation by geometry-preserving style transfer for underwater imaging and robot vision.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-03-12
DOI
https://doi.org/10.1109/lra.2025.3550816
Citations
2
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
2.55
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article

AquaFuse: Waterbody Fusion for Physics-Guided View Synthesis of Underwater Scenes

Ioannis Rekleitis, Jiayi Wu, Md Jahidul Islam, Md Abu Bakr Siddique
2 citations
IEEE Robotics and Automation Letters
Advanced Vision and Imaging
2.55
article

AquaFuse: Waterbody Fusion for Physics-Guided View Synthesis of Underwater Scenes

Ioannis Rekleitis, Jiayi Wu, Md Jahidul Islam, Md Abu Bakr Siddique
article en
2 citations

Abstract

In this letter, we introduce the idea of AquaFuse, a physics-based method for synthesizing <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">waterbody properties</i> in underwater imagery. We formulate a closed-form solution for waterbody fusion that facilitates realistic data augmentation and geometrically consistent underwater scene rendering. AquaFuse leverages the physical characteristics of light propagation underwater to synthesize the waterbody from one scene to the object contents of another. Unlike data-driven style transfer methods, AquaFuse preserves the depth consistency and object geometry in an input scene. We validate this unique feature by comprehensive experiments over diverse sets of underwater scenes. We find that the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AquaFused images</i> preserve over 94% depth consistency and 90–95% structural similarity of the input scenes. We also demonstrate that it generates accurate 3D view synthesis by preserving object geometry while adapting to the inherent waterbody fusion process. AquaFuse opens up a new research direction in data augmentation by geometry-preserving style transfer for underwater imaging and robot vision.

IEEE Robotics and Automation LettersVol. 10(5)
University of Florida (US), University of Maryland, College Park (US), University of Delaware (US)
Life below water
Openalex Percentile: Top 12%
Advanced Vision and Imaging
2.55
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AquaFuse: Waterbody Fusion for Physics-Guided View Synthesis of Underwater Scenes — Ioannis Rekleitis, Jiayi Wu, et al. · IEEE Robotics and Automation Letters (2025) | TGRS Research Map | TGRS