Jump to content

waifu2x

From Wikipedia, the free encyclopedia
waifu2x
Original author(s)nagadomi
Initial releaseOctober 11, 2015; 9 years ago (2015-10-11)
Stable release
v0.13.2 / November 18, 2018; 6 years ago (2018-11-18)
Repository
Written inLua
Operating systemLinux with CUDA support
LicenseMIT License
Websitewww.waifu2x.net

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

[edit]

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

[edit]
 

See also

[edit]

References

[edit]
  1. ^ "Amplía la resolución de tus imágenes con este portal web". TekCrispy (in Spanish). 2019-01-17. Retrieved 2019-01-21.
  2. ^ "GitHub - nagadomi/Waifu2x: Image Super-Resolution for Anime-Style Art". GitHub. April 2020.
  3. ^ 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.
  4. ^ "Even better image upscaling with Waifu2x". Fedora Magazine. 2018-10-02. Retrieved 2019-01-21.
  5. ^ "GitHub - marcan/Cl-waifu2x: OpenCL implementation of waifu2x image upscaling". GitHub. 25 March 2020.
  6. ^ "Waifu2x converter NCNN version, runs fast on intel / Amd / Nvidia GPU with vulkan: Nihui/Waifu2x-NCNN-vulkan". GitHub. April 2020.
[edit]