OracleFusion: Assisting the Decipherment of Oracle Bone Script with Structurally Constrained Semantic Typography
Caoshuo Li, Zengmao Ding, Xiaobin Hu, Bang Li, Donghao Luo, AndyPian Wu, Chaoyang Wang, Chengjie Wang, Taisong Jin, SevenShu, Yunsheng Wu, Yongge Liu, Rongrong Ji

TL;DR
OracleFusion is a novel two-stage framework that combines multimodal analysis and structural constraints to improve the decipherment and visualization of Oracle Bone Script characters, aiding experts in interpretation.
Contribution
This paper introduces OracleFusion, a new approach integrating multimodal large language models and structural vector fusion to enhance OBS decipherment and glyph visualization.
Findings
Outperforms baseline models in semantics and visual quality
Enhances readability and aesthetic appeal of glyph representations
Provides insights on unseen oracle characters
Abstract
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…
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Taxonomy
TopicsNatural Language Processing Techniques
