Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing. (arXiv:2210.07466v1 [cs.CV])

The application of computer vision and machine learning methods in the field
of additive manufacturing (AM) for semantic segmentation of the structural
elements of 3-D printed products will improve real-time failure analysis
systems and can potentially reduce the number of defects by enabling in situ
corrections. This work demonstrates the possibilities of using physics-based
rendering for labeled image dataset generation, as well as image-to-image
translation capabilities to improve the accuracy of real image segmentation for
AM systems. Multi-class semantic segmentation …

additive manufacturing arxiv manufacturing segmentation semantic