Sign inGet started
Repository · GitHub

opendatalab/MinerU-Diffusion

[ECCV 2026] A diffusion-based framework for document OCR that replaces autoregressive decoding with block-level parallel diffusion decoding.

Owneropendatalab
License (as declared)MIT
Stars620
Forks42
Main languagePython
Created13 March 2026
Last updated at source18 June 2026
pythonai4sciencediffusiondlmdocument-analysisextract-datalayout-analysislladaocrparserpdfpdf-converterpdf-extractor-llmpdf-extractor-pretrainpdf-extractor-ragpdf-parser
Embed this entry
<iframe src="https://silytics.si/embed/item/0c180cbe-08ba-48c8-b9ea-3fd0c444b11f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Stars, last 3 days

620 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from opendatalab

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.