OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866913913835094016 |
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| author | Li, Caoshuo Ding, Zengmao Hu, Xiaobin Li, Bang Luo, Donghao Wu, AndyPian Wang, Chaoyang Wang, Chengjie Jin, Taisong SevenShu Wu, Yunsheng Liu, Yongge Ji, Rongrong |
| author_facet | Li, Caoshuo Ding, Zengmao Hu, Xiaobin Li, Bang Luo, Donghao Wu, AndyPian Wang, Chaoyang Wang, Chengjie Jin, Taisong SevenShu Wu, Yunsheng Liu, Yongge Ji, Rongrong |
| contents | As one of the earliest ancient languages, Oracle Bone Script (OBS) encapsulates the cultural records and intellectual expressions of ancient civilizations. Despite the discovery of approximately 4,500 OBS characters, only about 1,600 have been deciphered. The remaining undeciphered ones, with their complex structure and abstract imagery, pose significant challenges for interpretation. To address these challenges, this paper proposes a novel two-stage semantic typography framework, named OracleFusion. In the first stage, this approach leverages the Multimodal Large Language Model (MLLM) with enhanced Spatial Awareness Reasoning (SAR) to analyze the glyph structure of the OBS character and perform visual localization of key components. In the second stage, we introduce Oracle Structural Vector Fusion (OSVF), incorporating glyph structure constraints and glyph maintenance constraints to ensure the accurate generation of semantically enriched vector fonts. This approach preserves the objective integrity of the glyph structure, offering visually enhanced representations that assist experts in deciphering OBS. Extensive qualitative and quantitative experiments demonstrate that OracleFusion outperforms state-of-the-art baseline models in terms of semantics, visual appeal, and glyph maintenance, significantly enhancing both readability and aesthetic quality. Furthermore, OracleFusion provides expert-like insights on unseen oracle characters, making it a valuable tool for advancing the decipherment of OBS. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_21101 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography Li, Caoshuo Ding, Zengmao Hu, Xiaobin Li, Bang Luo, Donghao Wu, AndyPian Wang, Chaoyang Wang, Chengjie Jin, Taisong SevenShu Wu, Yunsheng Liu, Yongge Ji, Rongrong Computer Vision and Pattern Recognition As one of the earliest ancient languages, Oracle Bone Script (OBS) encapsulates the cultural records and intellectual expressions of ancient civilizations. Despite the discovery of approximately 4,500 OBS characters, only about 1,600 have been deciphered. The remaining undeciphered ones, with their complex structure and abstract imagery, pose significant challenges for interpretation. To address these challenges, this paper proposes a novel two-stage semantic typography framework, named OracleFusion. In the first stage, this approach leverages the Multimodal Large Language Model (MLLM) with enhanced Spatial Awareness Reasoning (SAR) to analyze the glyph structure of the OBS character and perform visual localization of key components. In the second stage, we introduce Oracle Structural Vector Fusion (OSVF), incorporating glyph structure constraints and glyph maintenance constraints to ensure the accurate generation of semantically enriched vector fonts. This approach preserves the objective integrity of the glyph structure, offering visually enhanced representations that assist experts in deciphering OBS. Extensive qualitative and quantitative experiments demonstrate that OracleFusion outperforms state-of-the-art baseline models in terms of semantics, visual appeal, and glyph maintenance, significantly enhancing both readability and aesthetic quality. Furthermore, OracleFusion provides expert-like insights on unseen oracle characters, making it a valuable tool for advancing the decipherment of OBS. |
| title | OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.21101 |