Develop a deep learning model for learning the triangular face label assignment on AxisCube meshes, ensuring shape fidelity and structural validity requirements are met. -- 2

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This project focuses on label learning tasks based on AxisCube structures. A AxisCube is a special geometric structure that aligns with main axes, where each face is perpendicular or parallel to the ±x/±y/±z axes, and adjacent faces are mutually perpendicular. [图片] The input consists of a triangular mesh and its existing label data (indicating the direction of each triangle face as ±x/y/z), and the output is a new label assignment. Existing metric functions are used to evaluate label quality, including: - Fidelity: The degree of alignment between the label and the face normal. - Compactness: The smoothness of region boundaries and the number of corner points. - Validity Conditions: Whether the label combinations can legally form a AxisCube structure. I've a...

Keyword: Python

Delivery Time: 4 days left days

Price: $1078.0

Python Pytorch