What is Waifu2x Extension GUI?
With the help of the depth convolution neural network, the image&GIF&video are super-resolution magnified (i.e. magnified and denoised) and the video is interframed (i.e. complementary)
Main characteristics:
1. Automatic processing of multiple media: support the processing of pictures, and realize automatic processing of GIF&APNG and video
2. Full image style support: built-in multiple algorithms, whether it is two-dimensional animation or your daily photos&videos, can be cleared
3. Video frame insertion (complementary frame): After super-resolution, the video is automatically inserted to improve video smoothness
4. Video picture analysis: Speed up video processing and improve video quality by intelligently analyzing video pictures
5. Powerful compatibility: Built in multiple engines, it is compatible with almost all modern Windows PCs
6. Flexible multithreading setting: While providing complete setting items for each engine, you can also freely adjust the number of threads to make full use of all the performance of the PC
7. Multi GPU support: All built-in engines can support multi graphics cards, making full use of all the performance of your PC
8. Many custom settings: You can achieve automated workflow by adjusting many custom settings in the software
9. Intelligent setting: This software can automatically adjust some software settings according to your PC hardware information and the information of files you want to process
10. Easy to use graphical user interface
11. Continuous maintenance and updating
Built in super-resolution algorithm:
Waifu2x / SRMD / RealSR / Real-ESRGAN/ Real-CUGAN / Anime4K
ACNet / RTX Super Resolution
Built in super resolution engine:
Waifu2x-caffe / Waifu2x-converter / Waifu2x-ncnn-vulkan
SRMD-ncnn-vulkan / RealSR-ncnn-vulkan / Anime4KCPP / SRMD-CUDA
RealESRGAN-NCNN-Vulkan / Real-CUGAN-ncnn-vulkan / RTX Super Resolution
Built in frame interpolation algorithm:
RIFE / CAIN / DAIN / IFRNet
Built in frame insertion engine:
rife-ncnn-vulkan / cain-ncnn-vulkan / dain-ncnn-vulkan
IFRNet-ncnn-vulkan
