The increased representational power of textured Gaussians in the Textured-GS method comes with notable trade-offs, particularly in terms of computational overhead. While the ability to model local color and opacity variations significantly enhances visual fidelity and realism, it also necessitates additional calculations for ray-ellipsoid intersections. This computational burden can lead to longer rendering times and increased memory usage, especially in complex scenes with numerous Gaussians.
Moreover, the complexity of the intersection calculations may require more sophisticated optimization techniques to maintain real-time performance, particularly in applications such as virtual reality (VR) or augmented reality (AR), where frame rates are critical. As a result, developers may need to balance the desire for high-quality rendering with the practical limitations of computational resources. Strategies such as adaptive sampling, where the number of Gaussians is dynamically adjusted based on scene complexity, could help mitigate these trade-offs by optimizing resource allocation while still leveraging the enhanced representational capabilities of textured Gaussians.