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Zihui Du

2 accepted papers

2023

Invertible Residual Neural Networks with Conditional Injector and Interpolator for Point Cloud Upsampling

IJCAI 2023poster

Point clouds obtained by LiDAR and other sensors are usually sparse and irregular. Low-quality point clouds have serious influence on the final performance of downstream tasks. Recently, a point cloud upsampling network with normalizing flows has been proposed to address this problem. However, the n…

Cited by 2SourcePDFScholar
2022

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

ECCV 2022poster

"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…