Ucas-HaoranWei/Vary

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1889 stars · 145 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official ECCV 2024 implementation of Vary, a method for scaling up the vision vocabulary of large vision-language models. It provides training and inference code for Vary models that perform dense document OCR, chart parsing, and visual understanding.

Use cases

• parse text from document images with a vision-language model
• train a vision-language model with an expanded vision vocabulary
• run OCR on dense PDF page images
• extract charts into structured data
• reproduce ECCV 2024 Vary paper results

When to choose

• you need a research-grade vision-language model for document OCR
• you want to experiment with vision vocabulary scaling for LVLMs
• you need English and Chinese document parsing

When to avoid

• you need a production-supported library with a license and long-term maintenance
• you want a general-purpose chat assistant rather than document perception
• you lack GPU resources for large model inference

Facets

library · maturity maintenance

machine-learning computer-vision ocr nlp llm-training computer-vision large-language-models deep-learning image-processing pdf python vision-language-model eccv-2024 document-understanding vision-vocabulary research-code gpu linux

Member repositories

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