Original author(s) | nagadomi |
---|---|
Initial release | October 11, 2015 |
Stable release | v0.13.2
/ November 18, 2018 |
Repository | |
Written in | Lua |
Operating system | Linux with CUDA support |
License | MIT License |
Website | waifu2x |
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
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
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