Bridging Design Gaps: A Parametric Data Completion Approach With Graph-Guided Diffusion Models
Invention type: Technology
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Case number: #25903J
Researchers
Nikos Arechiga
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Faez Ahmed
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Yanxia Zhang
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Rui Zhou
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Chenyang Yuan
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Frank Permenter
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Matt Klenk
Departments: Department of Mechanical Engineering, Mechanical Engineering
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals
Impact Areas: Connected World
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systems and methods for completing parameter data using graphing and a denoising model
United States of America | Pending
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