3D数据和机器学习

Note, this article will be dynamicly updated…

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Different from 2D images that have a dominant representation as pixel arrays, 3D data has multiple popular representations, such as point cloud, mesh, volumetric field, multi-view images and parametric models. So far, I feel parametric models get the least attention in ML. I am not sure if this is true for both academic group and industrial group.

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Geometric deep learning

A summary from timzhang642(github) ** very good! Thanks!

Stanford CS468 -m achine learning for 3D data

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Generative design in Autodesk

Design graph in Autodesk

Using machine learning to extract 3D data ** A forum post with interesting idea and several cool youtube videos attached by another forum users, sticky-figure actions…

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PDF - machine_learning_techniques_for_geometric_modeling

PDF - Deep Learning for Advanced 3D Printing

PDF - 3D ShapeNets for 2.5D Object Recognition

PDF - 3D deep learning - Burnaev_MSc_MIT_2018

Five ways ML can help 3D printing