@techreport{oai:ipsj.ixsq.nii.ac.jp:00235072,
 author = {Xiaoxuan, Xie and Xusheng, Du and Minhao, Li and Haoran, Xie and Xiaoxuan, Xie and Xusheng, Du and Minhao, Li and Haoran, Xie},
 issue = {4},
 month = {Jun},
 note = {Generating is a challenging task due to their scarcity and unique pictographic nature. In this research, we propose a novel approach to generate oracle bone character-style images corresponding to the given image input using diffusion models. Unlike existing datasets of oracle bone characters, they typically store paired characters with modern Chinese characters. We first construct the dataset that aligns oracle bone characters, text prompts, and object images. We then train a stable diffusion model on this dataset. By inputting images of different objects combined with corresponding text prompts, the model generates the corresponding images in the style of oracle bone characters. Additionally, we integrate an optimization module to refine the initial results, ensuring they better conform to the original structure and norms of oracle bone characters. The qualitative evaluation demonstrates that our model excels in generating oracle bone character-style images that are both stylistically and semantically consistent., Generating is a challenging task due to their scarcity and unique pictographic nature. In this research, we propose a novel approach to generate oracle bone character-style images corresponding to the given image input using diffusion models. Unlike existing datasets of oracle bone characters, they typically store paired characters with modern Chinese characters. We first construct the dataset that aligns oracle bone characters, text prompts, and object images. We then train a stable diffusion model on this dataset. By inputting images of different objects combined with corresponding text prompts, the model generates the corresponding images in the style of oracle bone characters. Additionally, we integrate an optimization module to refine the initial results, ensuring they better conform to the original structure and norms of oracle bone characters. The qualitative evaluation demonstrates that our model excels in generating oracle bone character-style images that are both stylistically and semantically consistent.},
 title = {Oracle Bone Character Generation with Diffusion Models},
 year = {2024}
}