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 ...
Deep Learning with Yacine on MSN
Visualizing high-dimensional data using PCA in Scikit-Learn
Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Realsee showcased groundbreaking spatial intelligence technologies at CES 2026, highlighting advancements like the Poincare S1 scanner and Galois M2 for seamless 3D reconstruction. By 2025, Realsee ...
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: Recently, learning signed distance functions (SDFs) from point clouds has become popular for reconstruction. To ensure accuracy, most methods require using high-resolution Marching Cubes for ...
Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
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