SWAGSplatting augments 3D Gaussian Splatting with CLIP-derived semantic features, a semantic consistency loss, and adaptive primitive reallocation to achieve higher-fidelity reconstruction in low-visibility underwater scenes.
Available: https://arxiv.org/abs/2411.00239
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cs.CV 2years
2025 2representative citing papers
Proposes a physics-based 3D Gaussian framework that disentangles appearance from medium effects for high-quality underwater novel view synthesis and scene restoration.
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Semantic-guided Gaussian Splatting for High-Fidelity Underwater Scene Reconstruction
SWAGSplatting augments 3D Gaussian Splatting with CLIP-derived semantic features, a semantic consistency loss, and adaptive primitive reallocation to achieve higher-fidelity reconstruction in low-visibility underwater scenes.
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3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics Based Appearance-Medium Decoupling
Proposes a physics-based 3D Gaussian framework that disentangles appearance from medium effects for high-quality underwater novel view synthesis and scene restoration.