e3nn tutorial Copyright (c) 2021, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required ...
Abstract: Deep learning has been extensively applied in medical image segmentation, providing significant support for disease diagnosis. However, traditional encoder-decoder networks struggle with ...
Allows site teams to more effectively capture information, allowing forms, checklists and tasks to be raised against the 3D model. A new 3D model viewer for Viewpoint Field View has enhanced the model ...
ORLA is a web application that transforms text prompts into detailed 3D models using advanced AI technologies. With an intuitive interface and powerful backend, ORLA enables users to generate ...
Polygons play an essential role in 3D modeling, allowing the design of complex objects with great precision. By assembling simple geometric shapes, it becomes possible to create a variety of ...
Abstract: Probabilistic graphical models are useful for modelling stochastic phenomena for doing inferences and reasoning under uncertainty. Especially, chain graph models and Bayesian networks can be ...