The File

Metadata

Creators:

• Pausch, Florian , Acoustics Research Institute
• Perfler, Felix , Acoustics Research Institute
• Holighaus, Nicki , Acoustics Research Institute
• Majdak, Piotr , Acoustics Research Institute

Publishers:

• The SONICOM Ecosystem of the Austrian Academy of Sciences

Rightsholders:

• Acoustics Research Institute

Keywords:

• physically based modeling
• computer vision
• neural network
• Vision Transformer
• supervised learning
• regression

Relations:

• Mesh2PPM 1.0.0 requires the Tool BezierPPM 3.0 (2024).
• Mesh2PPM 1.0.0 requires the Tool PyBezierPPM 3.0 (2024).
• Mesh2PPM 1.0.0 is derived from the Database Mesh2PPM 1.0.0 (2022-2024).

Other:

• DOI: not assigned yet
• Uploaded by: Florian Pausch
• Date (created): 2025-06-29 21:55:14 (GMT)
• Date (updated): 2025-07-15 23:03:57 (GMT)
• Production Year: 2022-2024
• Resource Type: Model
• Rights: EUPL-1.2: European Union Public Licence version 1.2
• Subject Areas: Life Science, Other SONICOM Ecosystem
• Methods: Python, PyTorch

Comments

• Florian Pausch (2025-06-30 13:07:05): The Python code for the training of Mesh2PPM and the weights of the trained DNN instances will be published upon manuscript publication.