Add DocRes main weights, MIT license, and model card

LICENSE.txt

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+MIT License
+
+Copyright (c) 2024 Jiaxin Zhang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# 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/your-username/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.
+
+---

docres.pkl

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