A faster way to upscale videos using waifu2x using video compression technology.
Click here to read how Dandere2x works!
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Waifu2x (https://github.com/nagadomi/waifu2x) is a powerful tool for upscaling anime-styled images to a higher resolution. It does this using a convolutional neural network, which can bring greater visual fidelity to images by removing the noise produced from resolution upscaling or compression.
Image: An image of lower resolution ( left ) being brought to a higher resolution using waifu2x (right). Source: Wikipedia
While waifu2x may take 2-4 seconds on a modern graphics card to produce a higher resolution image, this becomes problematic when upscaling frames in a video, as one video-second can take multiple minutes to process. Considering the number of visual redundancies found in anime, having an algorithm to identify these redundancies and recycling them would prove to be an effective time-reducing step to help upscale videos to higher resolutions. Dandere2x does this by applying I-frame and p-frame compression to anime-styled videos to reduce the work needed by the GPU.
Image: Different compression types being visualized with PacMan. Dandere2x uses P-Frames to speed waifu2x up. Source: Wikipedia
You can read more about how Dandere2x does this here.
https://github.com/aka-katto/dandere2x/releases/tag/2.0
https://github.com/aka-katto/dandere2x/releases/tag/1.3.1
This is a bit undermaintained, but a known working verison is found here: https://www.reddit.com/r/Dandere2x/comments/i9xn56/linux_rerelease_other_announcements/
I'm juggling to get the linux version more reliably maintained.
Video2x: A lossless video enlarger/video upscaler achieved with waifu2x.
This project relies on the following software and projects.
- waifu2x-caffe
- waifu2x
- ffmpeg
- STB Image
- waifu2x-ncnn-vulkan
- waifu2x-converter-cpp-deadsix