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@OBI-Future

Oracle Bone Inscription Processing with NeXT-Models

We are working towards a future where all oracle bone inscriptions can achieve eternal digital preservation.
README.md

🔍 Multimodal OBI Information Perception in the Generative Model Era

🎯 Aiming at applying large multimodal models into paleography and archaeology

⭐ OBI Tasks: Recognition, Rejoining, Classification, Retrieval, Deciphering | Large Multimodal Models | OBI Domain Knowledge

📖Main Projects

  • ① OBI-Bench [ICLR2025]: Repo, Preprint. The first comprehensive benchmark for LMMs (6 proprietary and 17 open-source) on five OBI tasks.
  • ② Oracle-P15k [ACM MM'25]: Repo, Paper. Using diffusion-based model to generate pseudo OBI for mitigating long-tail distribution problem.
  • ③ OBIFormer [Displays'25]: Repo, Paper. A fast attentive denoising framework for oracle bone inscriptions.
  • ④ PictOBI-20k [Under Review]: Repo, Preprint. Unveiling large multimodal models in visual decipherment for pictographic oracle bone characters.
  • ⑤ OBI-Survey [Under Review]: Repo, Preprint. A comprehensive survey for oracle bone inscriptions information processing.

Maintained by Zijian Chen@SJTU, Wenjie Hua and Jinhao Li@ECNU.

Team Leader: Prof. Tingzhu Chen and Prof. Guangtao Zhai

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  1. OBI-Survey OBI-Survey Public

    The official GitHub page for the survey paper "Oracle Bone Inscriptions Processing: A Comprehensive Survey".

    10 1

  2. OBI-Bench OBI-Bench Public

    [ICLR'25] The first benchmark aiming to evaluate whether LMMs can assist oracle bone inscription processing tasks

    Python 6

  3. PictOBI-20k PictOBI-20k Public

    [ICASSP'26] PictOBI-20k: A dataset designed to evaluate large multimodal models on the visual decipherment tasks of pictographic OBCs

    Python 8 1

  4. Oracle-P15K Oracle-P15K Public

    [ACM MM'25] Official implementation of 'Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmark'

    Python 6 1

  5. OBIFormer OBIFormer Public

    Forked from LJHolyGround/OBIFormer

    [Displays'25] Official implementation of 'OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions'

    Python 2

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