Abstract: Methods and systems for automatic generation of a crown shape for a dentition comprise segmenting 3D maxillofacial data into a set of 3D dental objects; determining/receiving a position of a tooth determining 3D spatial constraints for the target crown shape using the set of 3D dental objects; determining an initial pose based for the target crown shape based on 3D dental object(s) of the set of 3D dental objects; and, optimizing parameter(s) associated with a digital crown shape model to determine the target crown shape, including determining a trial crown shape using the digital crown shape model and the parameter(s), computing a loss value for the trial crown shape based on the 3D spatial constraints and the initial pose; and, if the loss value does not meet one or more optimization conditions modifying the parameter(s) to determine a further trial crown shape and to compute a further loss value.

Abstract: A method for creating a digital dental restoration model. The method includes receiving a three-dimensional virtual model of oral structures of a patient, receiving classification data classifying an oral situation of the patient, and determining a three-dimensional (3D) geometry that defines a surface anatomy of the digital dental restoration. The method further includes automatically filtering, based on the determined 3D geometry, a set of possible first restoration design variables by restricting respective first restoration design variables to be compatible with the determined 3D geometry, and receiving an input that identifies a selected first restoration design variable from the filtered set of first restoration design variables.

Abstract: Embodiments of the systems and methods described herein provide game terrain generation system that can generate height field data from a sketch of graphical inputs from a user via a graphical user interface. The game terrain generation system can use a model, such as a trained neural network, to apply macro and micro topological features on top of the height field data to generate game terrain data. The game terrain generation system can identify boundaries between different styles of terrain and generate transitions between the styles to create a more realistic terrain boundary.

Abstract: Embodiments of the systems and methods described herein provide game terrain generation system that can generate height field data from a sketch of graphical inputs from a user via a graphical user interface. The game terrain generation system can use a model, such as a trained neural network, to apply macro and micro topological features on top of the height field data to generate game terrain data. The game terrain generation system can identify boundaries between different styles of terrain and generate transitions between the styles to create a more realistic terrain boundary.