3D 视觉

Point Cloud Synthesis Using Inner Product Transforms

利用内积变换进行点云合成

Ernst Röell, Bastian Rieck

机构 * AIDOS Lab, University of Fribourg（AIDOS实验室，弗里堡大学） ； Institute of AI for Health, Helmholtz Munich（健康人工智能研究所，海德堡慕尼黑） ； Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 点云 ：point cloud(title,abstract)；分类 cs.CV

AI总结 本文提出了一种利用内积变换编码点云几何-拓扑特性，实现高效且高质量点云合成的方法。

Comments Accepted at the 39th Conference on Neural Information Processing Systems (NeurIPS) 2025. Our code is available at https://github.com/aidos-lab/inner-product-transforms

A Comprehensive Database of Leaf Temperature, Water, and CO 2 Fluxes in Young Oil Palm Plants Across Diverse Climate Scenarios

全面的年轻油棕植物叶温度、水分和CO2通量数据库，在多样的气候情景下

Raphael Perez, Valentin Torrelli, Sandrine Roques, Sébastien Devidal, Clément Piel, Damien Landais, Merlin Ramel, Thomas Arsouze, Julien Lamour, Jean-Pierre Caliman, Rémi Vezy

专题命中 点云 ：point cloud(abstract)

AI总结 本研究提供了一个全面的油棕植物叶温度、水分和CO2通量数据库，用于评估FSPM模型的准确性，促进生物物理模型的基准测试和改进。

Comments Data and code availability: The raw data and scripts used to generate the final database are detailed and accessible on Zenodo (Vezy et al., 2025), the code is also accessible via a Github repository (https://github.com/PalmStudio/Biophysics\_database\_palm), and we also provide a companion website (https://palmstudio.github.io/Biophysics\_database\_palm) showing how computations were made and the main results. The code to trigger the FLIR camera and for logging the precision scale data is also available on dedicated Zenodo repositories (Vezy, 2025a, 2025b)