Point Clouds

Background 3Shape developes hardware and software for intraoral scanners. This project will revolve around the 3D mesh data of intraoral scans (scan of people’s teeth). You will have the opportunity to work part-time from their offices in Kongens Nytorv. Deep self-supervised learning has been established as a great foundational model for a plethora of downstream tasks. Especially SimCLR has been shown to perform very well on downstream tasks. However, these empirical results have not been replicated in the 3D domain. In this project, we would like to explore how to apply this to the 3D models of teeth that 3Shape works with. Initially, we would like to benchmark some established methods on our data and then we would like to explore how to translate these methods to the 3D space. ...

Background 3Shape developes hardware and software for intraoral scanners. This project will revolve around the 3D mesh data of intraoral scans (scan of people’s teeth). You will have the opportunity to work part-time from their offices in Kongens Nytorv. Style transfer involves merging the style of one image with the content of another. This process typically involves optimizing an objective function that minimizes the content loss and style loss. The result is an image that retains the original content while adopting the visual characteristics of the chosen style. However, for point clouds this is not clear as the content and style is not easily separable as the content and style are both given in the point cloud geometry. Previous works have considered the coloring of the point cloud to be the style, however, this is not satisfactory. ...