Semantic–Electromagnetic Inversion With Pretrained Multimodal Generative Model
Abstract Across diverse domains of science and technology, electromagnetic (EM) inversion problems benefit from the ability to account for multimodal prior information to regularize their inherent ill‐posedness. Indeed, besides priors that are formulated mathematically or learned from quantitative d...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | Advanced Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/advs.202406793 |
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