init repo

README.md

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-# Dog-IQA
+# Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grain Image Quality Assessment
 PyTorch code for our paper "Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grain Image Quality Assessment"
+
+
+[Kai Liu](https://kai-liu001.github.io/), [Ziqing Zhang](), [Wenbo Li](https://fenglinglwb.github.io/), [Renjing Pei](), [Fenglong Song](), [Xiaohong Liu](), [Linghe Kong](https://www.cs.sjtu.edu.cn/~linghe.kong/), and [Yulun Zhang](http://yulunzhang.com/)
+
+"2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution", arXiv, 2024
+
+[arXiv] [visual results] [pretrained models]
+
+<!-- [Guihai Chen](https://cs.nju.edu.cn/gchen/index.htm) -->
+
+#### 🔥🔥🔥 News
+
+- **2024-10-01:** This repo is released.
+
+---
+
+> **Abstract:** TBD
+
+
+
+## TODO
+
+* [ ] Update home pages
+* [ ] Update abstract and pipeline
+* [ ] Add experiment and visual results
+* [ ] Release code
+
+## Contents
+
+1. Datasets
+1. Models
+2. Evaluation
+3. Results
+4. Citation
+5. Acknowledgements
+