---
license: mit
library_name: pytorch
pipeline_tag: image-to-image
tags:
  - document-image-restoration
  - dewarping
  - deshadowing
  - deblurring
  - binarization
  - appearance-enhancement
  - doctra
model-index:
  - name: DocRes (Main Weights, docres.pkl)
    results: []
---

# DocRes Main Weights (docres.pkl)

These are the official **DocRes** (CVPR 2024) main weights (`docres.pkl`), rehosted for use in the [Doctra](https://github.com/AdemBoukhris457/Doctra) library.

---

## 📖 Source
- Original repository: [ZZZHANG-jx/DocRes](https://github.com/ZZZHANG-jx/DocRes)
- Paper: *DocRes: Dynamic Task-Specific Prompt for Generalist Document Image Restoration* (CVPR 2024)

---

## ⚖️ License
MIT License (see LICENSE file).  
Weights are redistributed under the same terms, with attribution to the original authors.

---

## ✅ Intended Use
The `docres.pkl` weights are used with the DocRes model backbone to perform generalist document image restoration tasks, including:

- 📐 Dewarping  
- 🌗 Deshadowing  
- ✨ Appearance enhancement (illumination cleanup)  
- 🔄 Deblurring  
- ⚫ Binarization  

These weights are integrated into the **Doctra** library to improve preprocessing and restoration of scanned or photographed documents.

---

## ⚠️ Limitations
- Performance may not always exceed highly specialized single-task models.  
- Trained on specific datasets (see [source repo](https://github.com/ZZZHANG-jx/DocRes) for details).  
- Not intended for non-document natural images.

---