MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing
VLM-based OCR models have become the de facto choice for document parsing, as they can accurately extract page-level elements (e.g., paragraphs within individual pages) together with their bounding boxes and textual content. However, downstream applications such as RAG require coherent document-level information, whereas these models often break cross-page continuity and fail to recover disrupted structures, such as paragraphs and tables truncated by page boundaries. Such relationships are not confined to a single page; instead, they require joint analysis of titles, paragraphs, tables, and images spanning multiple pages. A natural solution is therefore to reuse existing OCR outputs and r...
| Authors | Bangrui Xu, Ziyang Miao, Xuanhe Zhou et al. |
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| Primary category | cs.CV |
| Published | 24 May 2026 |
| Last updated at source | 30 July 2026 |
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