README.md

---
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
pipeline_tag: image-to-image
tags:
- AIoT
- QNN
---

![](https://aiot.aidlux.com/_next/image?url=%2Fapi%2Fv1%2Ffiles%2Fmodel%2Fcover%2F%25E5%259B%25BE-13.png&w=640&q=75)

## ESRGAN：Image Super Resolution

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks) is an efficient and user-friendly deep learning framework designed for performing image super-resolution tasks. It adopts a SRResNet-based architecture and incorporates residual, contextual loss, perceptual loss, and adversarial loss. The aim is to train the generator and discriminator networks to restore image details while making the generated images more realistic.

### Source model

- Input shape: 128x128
- Number of parameters: 16.69M
- Model size: 63.8MB
- Output shape: 1x3x512x512

Source model repository: [ESRGAN](https://github.com/xinntao/ESRGAN/)

## 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: [APACHE-2.0](https://github.com/xinntao/ESRGAN/blob/master/LICENSE)

- Deployable Model: [APLUX-MODEL-FARM-LICENSE](https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf)