Waifu2x
Image scaling algorithm
Original author(s) | nagadomi |
---|---|
Initial release | October 11, 2015; 8 years ago (2015-10-11) |
Stable release | v0.13.2 / November 18, 2018; 5 years ago (2018-11-18) |
Repository |
|
Written in | Lua |
Operating system | Linux with CUDA support |
License | MIT License |
Website | www |
waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos.[1]
waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN).[2][3] It uses Nvidia CUDA for computing,[4] although alternative implementations that allow for OpenCL[5] and Vulkan[6] have been created.
Etymology
Waifu (from the Japanese pronunciation of "wife") is anime slang for a female character to whom one is attracted. 2x means two-times magnification.
Example
- Left: 512×512px, PNG lossless, original source Wikipe-tan face.svg
- Middle: 256×256px, JPG quality 30%, then nearest-neighbor interpolation
- Right: 512×512px, waifu2x upscaling & noise reduction
See also
References
- ^ "Amplía la resolución de tus imágenes con este portal web". TekCrispy (in Spanish). 2019-01-17. Retrieved 2019-01-21.
- ^ "GitHub - nagadomi/Waifu2x: Image Super-Resolution for Anime-Style Art". GitHub. April 2020.
- ^ Dong C, Loy C C, He K, et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(2): 295-307.
- ^ "Even better image upscaling with Waifu2x". Fedora Magazine. 2018-10-02. Retrieved 2019-01-21.
- ^ "GitHub - marcan/Cl-waifu2x: OpenCL implementation of waifu2x image upscaling". GitHub. 25 March 2020.
- ^ "Waifu2x converter NCNN version, runs fast on intel / Amd / Nvidia GPU with vulkan: Nihui/Waifu2x-NCNN-vulkan". GitHub. April 2020.
External links
- Official website
- waifu2x on GitHub
- v
- t
- e