AuraSR GAN-based Super-resolution Image Enlargement Demo

Tutorial Introduction

AuraSR is a high-definition image restoration model based on deep learning. GigaGAN  A variation of the paper: a GAN-based super-resolution processing solution that can intelligently identify detailed information in images and automatically fill in missing details while enlarging the image. Compared with traditional image enlargement methods, AuraSR not only has better results, but is also easy to operate and can be easily used without professional skills.

The design concept of AuraSR is to provide a simple and effective way to enhance the resolution of images, making them clearer and more detailed. It can not only process natural landscapes and portraits, but also works of art to enhance the overall visual experience.

Effect display

Running method (it takes about 10 seconds to initialize after starting the container, and then perform the following operations)

1. Clone and start the container

2. After the container is running, copy the API to the browser

3. Upload the blurred original image in the image box and click "upscale image" to experience the model.

Discussion and Exchange

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