Abstract: Due to the disorder of points, point clouds need to be structured by sampling and neighbor query before feeding to Deep Neural Networks (DNNs). Structuring point clouds costs high ...
This repository contains sample 3D point cloud files in various "archive-friendly" formats and subversions, designed for testing with digital preservation tools developed within the NFDI4Culture ...
While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D ...
Abstract: Point Cloud Quality Assessment (PCQA) aims to accurately predict the visual quality of a point cloud, which is essential in optimizing and evaluating the point cloud compression, ...
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