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IEEE/ICACT20250037 Slide.05        [Big Slide]	Oral Presentation
	The core challenge in our study was generating high-quality Korean paintings using text-to-image models like Stable Diffusion. These models typically require large datasets, which are scarce in niche domains like traditional Korean art. To address this, we experimented with techniques such as textual inversion and hypernetworks, which allow us to work with small datasets while maintaining the distinct style and quality of the generated images.

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