深圳大学学报（理工版）2026，Vol.43Issue(5)：541-548,8.DOI:10.3724/SP.J.1249.2026.05541
Topo-Diff:基于拓扑引导扩散模型的甲骨文转换方法
Topo-Diff:a topology-guided diffusion model for oracle bone script transformation
摘要
Abstract
Aiming at the difficulties in accurate decipherment and digital restoration of oracle bone scripts(OBSs)caused by carrier damage,severe noise interference and glyph variations,we propose a topology-guided diffusion model named Topo-Diff.In this model,we construct a structure-preserving restoration framework to convert OBSs into modern Chinese characters.Persistent homology is adopted to extract noise-robust topological invariants from the OBS images,which are further quantified into multi-scale structural feature vectors.By using an additive projection mechanism,these topological features are then injected into the reverse denoising process of the diffusion model with U-Net as the noise prediction network.This explicitly guides the model to reconstruct pixel textures while strictly complying with the structural constraints of connected components and holes of original glyphs.The model adopts a multi-objective optimization strategy combining noise prediction loss,topological consistency loss,and edge geometric loss.It effectively alleviates the"structural hallucination"issue of conventional methods when handling broken strokes and stroke adhesion.Tested under the setting of 1 762 character classes,Topo-Diff achieves a structural similarity index measure(SSIM)of 0.702 4,a peak signal to noise ratio(PSNR)of 25.35 dB,a topological similarity of 0.933 2,and a recognition accuracy of 0.660.Experimental results demonstrate that the proposed method outperforms the compared image-translation and generative approaches.Topo-Diff effectively improves the quality of digital restoration and recognition reliability while preserving the structural integrity of OBS characters,offering a viable new approach for their intelligent interpretation and digital preservation.关键词
计算机应用技术/甲骨文/扩散模型/拓扑数据分析/结构保持生成/持续同调/智能考古Key words
computer application technology/oracle bone script(OBS)/diffusion model/topological data analysis(TDA)/structure-preserving generation/persistent homology/intelligent archaeology分类
信息技术与安全科学引用本文复制引用
刘光南,秦广军,杨子旋,吴梦洁,梁小云..Topo-Diff:基于拓扑引导扩散模型的甲骨文转换方法[J].深圳大学学报（理工版）,2026,43(5):541-548,8.基金项目
National Natural Science Foundation of China(62172045) 国家自然科学基金资助项目(62172045) （62172045）
