Textured-GS: Gaussian Splatting with Spatially Defined Color and Opacity
This work addresses the need for more efficient and high-quality scene reconstructions in computer graphics, representing an incremental improvement over existing Gaussian-based rendering technologies.
The paper tackled the problem of enhancing rendering quality in Gaussian splatting by introducing spatially defined color and opacity variations using Spherical Harmonics, resulting in improved visual fidelity across multiple real-world datasets compared to baseline methods.
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 reconstructions. Our implementation is available at https://github.com/ZhentaoHuang/Textured-GS.