3DMambaIPF: A Scalable and Realistic Point Cloud Denoising Model Leveraging Mamba and Differentiable Rendering

3DMambaIPF introduces a novel iterative point cloud filtering model that leverages the Mamba module for efficient long-sequence modeling and integrates a differentiable rendering loss to enhance the visual realism of denoised geometric structures, enabling superior performance on both small-scale and large-scale point cloud datasets.