Point cloud data for

This repository contains all point cloud data we have used to train and test the semi-supervised models, namely convolutional autoencoder and variational autoencoder, for automatic detection of surface defects in laser directed energy deposition. Each point cloud data file corresponds to a printing of thin wall structure. Note the real training data for models was augmented in a way as described in the paper.