The differentiable rendering approach used in 3DMambaIPF has several potential limitations that could be addressed for further improvement:
Handling Complex Geometries: One limitation is the ability to handle highly complex geometric structures. To improve this, advanced rendering techniques such as implicit function-based rendering or adaptive sampling strategies could be integrated to better capture intricate details and fine-grained features in the denoising process.
Optimizing Rendering Loss: The rendering loss function may need optimization to enhance its effectiveness in aligning noisy points with the ground truth. Techniques like adaptive weighting of loss terms based on geometric complexity or incorporating perceptual loss functions could be explored to improve the fidelity of denoised results.
Scalability and Efficiency: Enhancements in the efficiency and scalability of the rendering process could be beneficial. Implementing parallel processing or optimizing the rendering pipeline for GPU acceleration can help handle larger datasets and more complex scenes without compromising performance.