A Feature-Tag-Driven Semantic Control Framework for AIGC-Based Furniture Design Using LoRA Fine-Tuning
To address challenges such as semantic distortion, poor controllability, and the lack of domain-specific structural knowledge in AIGC-driven furniture design, this study proposes a feature-tag-driven semantic control framework based on LoRA (Low-Rank Adaptation) fine-tuning. First, Facet Analysis Th...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2026-06-01
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| Rangatū: | Applied Sciences |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2076-3417/16/12/5917 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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