waifu2x

waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos.[1]

waifu2x
Original author(s)	nagadomi
Initial release	October 11, 2015 (2015-10-11)

Stable release	v0.13.2 / November 18, 2018 (2018-11-18)

Repository	github.com/nagadomi/waifu2x
Written in	Lua
Operating system	Linux with CUDA support
License	MIT License
Website	waifu2x.udp.jp

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

Comparison gallery of image scaling algorithms

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". 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". 25 March 2020.
"Waifu2x converter NCNN version, runs fast on intel / Amd / Nvidia GPU with vulkan: Nihui/Waifu2x-NCNN-vulkan". April 2020.

External links

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