Hybrid Quantum-Classical Style Transfer
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초록

This paper proposes a novel quantum style transfer (QST) in hybrid quantum-classical computing. QST leverages quantum computing's ability to process high-dimensional data efficiently. Our approach aims to decrease both inference time and complexity while maintaining performance, presenting a viable solution that enhances the scalability and efficiency of image generation technologies.

제목
Hybrid Quantum-Classical Style Transfer
저자
Roh, Emily JiminShim, Joo YongPark, SoohyunKim, Joongheon
DOI
10.1609/aaai.v39i28.35295
발행일
2025-04
유형
Conference paper
저널명
Proceedings of the AAAI Conference on Artificial Intelligence
39
28
페이지
29480 ~ 29481