A method for generating Dunhuang dance instrumental images based on optimized diffusion model

Jiaxin Wang; Xiangzhen He; Kenneth M. Suzuki

doi:10.1117/12.3051655

18 November 2024 A method for generating Dunhuang dance instrumental images based on optimized diffusion model

Jiaxin Wang, Xiangzhen He, Kenneth M. Suzuki

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134031V (2024) https://doi.org/10.1117/12.3051655
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

Dunhuang culture is a treasure house of human history and culture. As an integral part of Dunhuang culture, Dunhuang dance is famous for its unique national characteristics and artistic characteristics. In the form of Dunhuang dance, instrumental music and props are used to greatly enrich the stage expression, forming a unique dance form of "holding music while dancing, dancing with instruments". However, the phenomenon of homogenization of instrumental props occurs frequently, which hinders the overall presentation effect and beauty of Dunhuang dance. The development based on the generative diffusion model provides new ideas for the design of Dunhuang dance instrumental props. First, the role played by musical instruments and props in the presentation of Dunhuang dance art was sorted out, and the Dunhuang dance instrumental props were digitally collected and processed, and a special data set was constructed. Secondly, based on the recognition of related instruments, a diffusion model instrumental prop image generation that can be used in the Chinese context is trained. Experimental results show that the instrumental props generated by this method not only conform to realistic logic but also have strong applicability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaxin Wang, Xiangzhen He, and Kenneth M. Suzuki "A method for generating Dunhuang dance instrumental images based on optimized diffusion model", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134031V (18 November 2024); https://doi.org/10.1117/12.3051655

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KEYWORDS

Diffusion

Education and training

Instrument modeling

Data modeling

Design

Image processing

Semantics

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