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...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2026-06-01
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| coleção: | Applied Sciences |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2076-3417/16/12/5917 |
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