Advancing lacquerware design through human-AI collaboration with controllable diffusion models
Jun Liang, Yixin Li, Zhileng Xiong, Qing Huang · 2025
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Description
Jun Liang, Yixin Li, Zhileng Xiong, and Qing Huang wrote a 2025 paper on designing lacquerware with help from artificial intelligence. Lacquer craft carries deep heritage, yet artisans face slow hand work and a narrow pool of fresh ideas. Their system pairs a controllable image generator with the artisan's judgment in a loop.
A database of old and new pieces, cleaned and labeled for style, trains the generator through a light adaptation method. The artisan picks, adjusts, and sends designs back for another round. The setup aims to keep the craft's look coherent while widening what a maker can try in a day. It is a case study in AI as a craft partner rather than a replacement.
Catalog record
| CREATOR | Jun Liang, Yixin Li, Zhileng Xiong, Qing Huang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 73 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |