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---
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.
--- |