Jun Xuan

PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows

"Point cloud denoising aims to restore clean point clouds from raw observations corrupted by noise and outliers while preserving the fine-grained details. We present a novel deep learning-based denoising model, that incorporates normalizing flows and noise disentanglement techniques to achieve high…