Global InformationWaifu2x information
| 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 | 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.
- ^ "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.