Search Results for "waifu2x"
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Showing 10 open source projects for "waifu2x"
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Waifu2x GUI
An app that upscales anime-styled images, gifs, and videos
This is a GUI app that can upscale anime-styled images, gifs, and videos using waifu2x or Real-ESRGAN Anime. It aims to be simple to use, but you can access more advanced settings in the top bar. Upscaling videos and gifs will take a very long time without a high-end graphics card! The Real-ESRGAN Anime upscaler is much faster and gives better results than waifu2x, so it is recommended to use it instead. Real-ESRGAN only supports scale factors between 2-4, and all other waifu2x options are ignored. ... -
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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Waifu2x-Extension-GUI
Video, Image and GIF upscale/enlarge(Super-Resolution)
Photo/Video/GIF enlargement and Video frame interpolation using machine learning. Waifu2x-Extension-GUI is a video, image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet. The beta build has a faster update cycle than the stable build, which allows you to experience the latest features of the software in advance. ... -
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Video2X
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K
A lossless video/GIF/image upscale achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018. The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the GUI page to see the basic usage of the GUI. Try the mirror if you can't download releases directly from GitHub. You can use Video2X on Google Colab for free if you don't have a powerful GPU of your own. -
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Waifu2x-Extension-GUI
Photo/Video/GIF enlargement using machine learning
Image & GIF & Video Super-Resolution using Deep Convolutional Neural Networks. Built-in image processing algorithm: Waifu2x / SRMD / RealSR / Anime4K / ACNet Built-in image processing engine: Waifu2x-caffe / Waifu2x-converter / Waifu2x-ncnn-vulkan / SRMD-ncnn-vulkan / RealSR-ncnn-vulkan / Anime4KCPP Github: https://github.com/AaronFeng753/Waifu2x-Extension-GUI">
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Real-ESRGAN GUI
Cross-platform GUI for image upscaler Real-ESRGAN
The graphic interface of Real-ESRGAN, a practical and beautiful image magnification tool, refers to the design of waifu2x-caffe. This program is a graphical interface of Real-ESRGAN's command line program Real-ESRGAN-ncnn-vulkan , written in Python and tkinter, and supports Windows, Ubuntu and macOS platforms. According to actual measurements, arm64the single-architecture performance is better than universal2the dual- architecture Mac on the Apple chip, so Apple chip users are advised to pack arm64single-architecture applications by themselves. ... -
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AviSynth AiUpscale v1.2.0
AviSynth+ implementation of Super-Resolution Convolutional Neural
...The AiUpscale models used for all datasets were the "Photo" models, except for the Manga109 dataset for which the "LineArt" models were used. In the same way, the Waifu2x cunet model was used for the Manga109 dataset, and the upconv_7 model for the rest. -
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waifu2x
Single-image super-resolution for anime-style art
Single-Image Super-Resolution for Anime-Style Art using Deep Convolutional Neural Networks. And it supports photo. You can train your own model, change image size, reduce image noise, upscale and customize your image's style. It provides the option of converting and downloading your edited images. -
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waifu2x-ROS
ReactOS and Windows XP compatible build of waifu2x.
To speed up, use "-b 256 -j 4" options. The original is there: https://github.com/WL-Amigo/waifu2x-converter-cpp Here are some minor cosmetic changes (switch to control memory usage and slightly reformatted output) and files needed to build under MinGW32-W64. To recompile (in Linux), run "make clean; make". 2016-10-17 UPDATE: added simple GUI. 2016-10-18 FIX: corrected typo, added some crashes handling. 2016-11-20 UPDATE: - added "TTA" and "number of passes" options; - enabled RGB models (without internal upscaling); - updated JPEG, TIFF, WebP and OpenEXR libraries; - modified OpenCV to enable JPEG compression in TIFF images (sources included); - replaced models with Nagadomi's ones (https://github.com/nagadomi/waifu2x). 2016-12-28: Happy New Year and Merry Christmas! ... -
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waifu2x-cpu-torch-vks
waifu2x fork without CUDA
The original is here: https://github.com/nagadomi/waifu2x Differences: - CPU only, no CUDA needed; - double-precision version; - GPU and CPU-trained models (on the fly conversion in memory); - adapted for Lua v5.2 (works with Torch 7 on x32 Ubuntu). 31-12-2016: - removed unneeded data copies, left from CUDA processing; - removed large duplicate files (see "ReadMe" before use).
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