Nobutaka Yuasa
Image Super Res
Image Super Res ist eine App von Nobutaka Yuasa. Veröffentlicht 2 years ago. 1.5.0 Version.
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The app utilizes AI to upscale and enhance images.
It supports a variety of image types, including photos and anime/illustrations, with scaling options of x2 and x4.
Improve the resolution and quality of your photos with the easy-to-use app.
Select images from Photo Library or Files then tap the Upscale button. That's it!
Try different AI models to see the differences.
Supported Image Formats:
- GIF
- HEIC
- JPEG
- PNG
- WebP
Supported AI Models:
- RealESRGAN x4 Plus: A scale x4 model designed for general images
- RealESRGAN x2 Plus: A scale x2 model designed for general images
- RealESRNet x4 Plus: A scale x4 model designed for general images
- realesr general x4v3: A compact scale x4 model, designed for general images
- RealESRGAN x4 Plus Anime: A scale x4 model designed foranime/illustration
Acknowledgment:
Wang, X., Xie, L., Dong, C., & Shan, Y. (2021).
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data.
In Proceedings of the International Conference on Computer Vision Workshops (ICCVW).
For further information, see the project's GitHub: https://github.com/xinntao/Real-ESRGAN
It supports a variety of image types, including photos and anime/illustrations, with scaling options of x2 and x4.
Improve the resolution and quality of your photos with the easy-to-use app.
Select images from Photo Library or Files then tap the Upscale button. That's it!
Try different AI models to see the differences.
Supported Image Formats:
- GIF
- HEIC
- JPEG
- PNG
- WebP
Supported AI Models:
- RealESRGAN x4 Plus: A scale x4 model designed for general images
- RealESRGAN x2 Plus: A scale x2 model designed for general images
- RealESRNet x4 Plus: A scale x4 model designed for general images
- realesr general x4v3: A compact scale x4 model, designed for general images
- RealESRGAN x4 Plus Anime: A scale x4 model designed foranime/illustration
Acknowledgment:
Wang, X., Xie, L., Dong, C., & Shan, Y. (2021).
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data.
In Proceedings of the International Conference on Computer Vision Workshops (ICCVW).
For further information, see the project's GitHub: https://github.com/xinntao/Real-ESRGAN
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