Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity
Zhentao Huang, Minglun Gong

TL;DR
Textured-GS introduces a novel Gaussian splatting method that uses spatially defined color and opacity via Spherical Harmonics, significantly improving rendering quality and scene reconstruction efficiency.
Contribution
It presents a new textured Gaussian splatting technique with spatially varying color and opacity, integrated into Mini-Splatting without increasing Gaussian count.
Findings
Outperforms baseline Mini-Splatting in visual fidelity
Enhances rendering quality with textured Gaussian representation
Maintains efficiency by integrating textures without additional Gaussians
Abstract
In this paper, we introduce Textured-GS, an innovative method for rendering Gaussian splatting that incorporates spatially defined color and opacity variations using Spherical Harmonics (SH). This approach enables each Gaussian to exhibit a richer representation by accommodating varying colors and opacities across its surface, significantly enhancing rendering quality compared to traditional methods. To demonstrate the merits of our approach, we have adapted the Mini-Splatting architecture to integrate textured Gaussians without increasing the number of Gaussians. Our experiments across multiple real-world datasets show that Textured-GS consistently outperforms both the baseline Mini-Splatting and standard 3DGS in terms of visual fidelity. The results highlight the potential of Textured-GS to advance Gaussian-based rendering technologies, promising more efficient and high-quality scene…
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Taxonomy
TopicsModular Robots and Swarm Intelligence
