JayRay5
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DIVE-Doc-FRD

Text Generation

document-understanding

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JayRay5 commited on 29 days ago

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@@ -13,7 +13,8 @@ DIVE-Doc is a VLM architecture built as a trade-off between end-to-end lightweig
 Without relying on external tools such as OCR, it processes the inputs in an end-to-end way.
 It takes an image document and a question as input and returns an answer. <br>
 - **Repository:** [GitHub](https://github.com/JayRay5/DIVE-Doc)
-- **Paper (Spotlight/Best Paper Award VisionDocs@ICCV2025):** [DIVE-Doc: Downscaling foundational Image Visual Encoder into hierarchical architecture for DocVQA](https://openaccess.thecvf.com/content/ICCV2025W/VisionDocs/html/Bencharef_DIVE-Doc_Downscaling_foundational_Image_Visual_Encoder_into_hierarchical_architecture_for_ICCVW_2025_paper.html)
 ## 2 Model Summary

 Without relying on external tools such as OCR, it processes the inputs in an end-to-end way.
 It takes an image document and a question as input and returns an answer. <br>
 - **Repository:** [GitHub](https://github.com/JayRay5/DIVE-Doc)
+- **Paper (Spotlight/Best Paper Award VisionDocs@ICCV2025):** <br>
+  [DIVE-Doc: Downscaling foundational Image Visual Encoder into hierarchical architecture for DocVQA](https://openaccess.thecvf.com/content/ICCV2025W/VisionDocs/html/Bencharef_DIVE-Doc_Downscaling_foundational_Image_Visual_Encoder_into_hierarchical_architecture_for_ICCVW_2025_paper.html)
 ## 2 Model Summary