Update README.md

README.md

@@ -14,11 +14,26 @@
 - Python packages: `pip install numpy opencv-python pandas tqdm fast_pytorch_kmeans`
 
 ## Demo
-We offer a demo that can simulate 4x super-resolution using a single input image:
-
+We provide a demo that performs 4x super-resolution on a single input LR image (supports only 4x scaling and .png format).
+```
+git clone https://huggingface.co/3587jjh/pcsr_carn
+```
+and then, specify your LR image path and output path like:
 ```
-python demo.py
+python demo.py --lr_path comic.png --output_path results
 ```
+Output: flops: 66.3G (63.6 %) | max_flops: 104.1G (100 %)
+<div style="display: flex;">
+    <figure style="margin: 0; text-align: center;">
+        <img src="assets/output_vis.png" style="width: 280px; height: 184px; object-fit: cover;"/>
+        <figcaption>Classification</figcaption>
+    </figure>
+    <figure style="margin: 0; text-align: center;">
+        <img src="assets/output.png" style="width: 280px; height: 184px; object-fit: cover;"/>
+        <figcaption>SR Result (X4)</figcaption>
+    </figure>
+</div>
+For a detailed demo and information, please refer to [our GitHub page](https://github.com/3587jjh/PCSR).
 
 ## Citation
 ```
@@ -30,7 +45,4 @@ python demo.py
   year={2025},
   organization={Springer}
 }
-```
-
-## Acknowledgement
-This repo is based on [LIIF](https://github.com/yinboc/liif) and [KAIR](https://github.com/cszn/KAIR). 
+```