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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
---
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## 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) |