workspace/ -i /host/yn_moving.mkv -o /host/yn_moving_upscaled.mkvĪssert that you have nvidia-container-toolkit installed on your respective machine in order to correctly utilize the image. $ docker run -rm -it -gpus all -v $PWD:/host akaikatto/dandere2x -p singleprocess -ws. Below are generic instructions on how to use the image, as it's a bit "sharp-around-the-edges".
The dandere2x docker is ready to be tested. You can read more about how Dandere2x does this here.
Dandere2x uses P-Frames to speed waifu2x up. Image: Different compression types being visualized with PacMan. Dandere2x does this by applying I-frame and p-frame compression to anime-styled videos to reduce the work needed by the GPU. 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. 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. Image: An image of lower resolution ( left ) being brought to a higher resolution using waifu2x (right). 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. Waifu2x ( ) is a powerful tool for upscaling anime-styled images to a higher resolution. Tutorial Dandere2x's Motivation and Big Idea A faster way to upscale videos using waifu2x using video compression technology. Welcome to the GitHub repo for the SVT-AV1! This repo is set to read-only for archiving purposes. Enabling everyone to experience disentanglement Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet. Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks. Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration. A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. A High-Quality Real Time Upscaler for Anime Video When comparing waifu2x and FidelityFX-CLI you can also consider the following projects:
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