Update README.md

README.md

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-license: other
-license_name: aimet-model-zoo
-license_link: https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf
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+---
+license: other
+license_name: aimet-model-zoo
+license_link: https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf
+pipeline_tag: image-to-image
+tags:
+- AIoT
+- QNN
+---
+
+![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F20250320024554_%25E5%259B%25BE1(2).png&w=640&q=75)
+
+## QuickSRNetLarge: Super Resolution
+
+QuickSRNet is a lightweight real-time image super-resolution model optimized for mobile and edge devices, efficiently enhancing image resolution under low computational resources. It employs a streamlined residual architecture with shallow feature reuse and efficient channel attention, minimizing parameters while improving detail reconstruction (e.g., edge sharpening and texture recovery). Supporting 2x/4x upscaling, its dynamic upsampling module adaptively balances speed and quality, achieving PSNR/SSIM metrics close to complex models (e.g., EDSR) with significantly faster inference. Ideal for real-time video enhancement, mobile image processing, and IoT devices, it delivers an efficient solution for resource-constrained environments.
+
+### Source model
+
+- Input shape: 1x3x128x128
+- Number of parameters: 425.67KB
+- Model size: 1.67M
+- Output shape: 1x3x512x512
+
+The source model can be found [here](https://github.com/quic/aimet-model-zoo/tree/develop/aimet_zoo_torch/quicksrnet)
+
+## Performance Reference
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## Inference & Model Conversion
+
+Please search model by model name in [Model Farm](https://aiot.aidlux.com/en/models)
+
+## License
+
+- Source Model: [AIMET-MODEL-ZOO](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf)
+
+- Deployable Model: [AIMET-MODEL-ZOO](https://github.com/quic/aimet-model-zoo/blob/develop/LICENSE.pdf)