Update README.md

README.md

@@ -50,6 +50,49 @@ model-index:
 
 ---
 
-arxiv.org/abs/2401.15204
+# [SPL 2025] LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
 
+<div align="center">
+
+[![arXiv](https://img.shields.io/badge/arxiv-paper-179bd3)](https://arxiv.org/abs/2401.15204)
+[![IEEE](https://img.shields.io/badge/IEEE-paper-blue)](https://ieeexplore.ieee.org/abstract/document/10972228)
+	
+Ranked #1 on FLOPS(G) (3.49 GFLOPS) and Params(M) (0.045M = 45k Params)
+</div>
+
+## 🆕 Updates
+- `27.07.2025` 🤗 LYT-Net now has a new HuggingFace page! Check it out [here](https://huggingface.co/albrateanu/LYT-Net)! **HF Demo coming soon!** 
+- `09.05.2025` 📢 Check out our other works on [Low-light Image Enhancement](https://github.com/albrateanu/KANT) and [Image Denoising](https://github.com/albrateanu/AKDT)!
+- `21.04.2025` 📝 LYT-Net is published as a IEEE Signal Processing Letters paper. [Link to paper](https://ieeexplore.ieee.org/abstract/document/10972228).
+- `17.07.2024` 🧪 Released rudimentary PyTorch implementation.
+- `03.04.2024` 🔧 Training code re-added and adjusted.
+- `30.01.2024` 📄 arXiv pre-print available.
+- `10.01.2024` 🚀 Pre-trained model weights and code for training and testing are released.
+
+## 🧪 Experiment
+Please check the [GitHub](https://github.com/albrateanu/LYT-Net) for PyTorch and TensorFlow implementations.
+
+## 📚 Citation
+```
+@article{brateanu2025lyt,
+  author={Brateanu, Alexandru and Balmez, Raul and Avram, Adrian and Orhei, Ciprian and Ancuti, Cosmin},
+  journal={IEEE Signal Processing Letters}, 
+  title={LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement}, 
+  year={2025},
+  volume={},
+  number={},
+  pages={1-5},
+  doi={10.1109/LSP.2025.3563125}}
+
+
+@article{brateanu2024lyt,
+  title={LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement},
+  author={Brateanu, Alexandru and Balmez, Raul and Avram, Adrian and Orhei, Ciprian and Cosmin, Ancuti},
+  journal={arXiv preprint arXiv:2401.15204},
+  year={2024}
+}
+```
+
+
+Paper: arxiv.org/abs/2401.15204
 Code: https://github.com/albrateanu/LYT-Net