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...By setting the scale factor to 4x, it will use the slower Anime4x model but this gives better results, so it is recommended to upscale images at 4x when using Real-ESRGAN. Apply effects such as speed or reverse (animated images/videos). Customize settings (noise, scale, mode, framerate, etc.). Upscale multiple images (or multiple frames of an animated image/video) concurrently. Change the upscaler (waifu2x or Real-ESRGAN Anime).

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

This tool allows you to easily upscale all your PNG, JPG and GIF images en masse, such as pixel art or AI-generated art, using the open source, amazing, best-in-class, hyperfast non-AI xBRZ algorithm. Unlike the original xBRZ preview program which could only do one image at a time, the new .bat script allows you to mass upscale ALL your images in bulk without needing to fumble with unintuitive commandline nonsense! Perfect for the layperson artist.

...This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. ...

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.

...Although more features will be added in time, the initial focus is on very fast high-quality image resizing, including bicubic resizing (both upscale and downscale). The performance of a typical bicubic upscale operation is typically in the order of 10 times faster than via the standard AWT mechanism using RenderingHints.VALUE_INTERPOLATION_BICUBIC. The library depends on Aparapi (https://code.google.com/p/aparapi/). Any GPU supporting OpenCL should be supported (including low-end GPUs without double-precision fp support), and there is automatic fallback to pure java implementations for all operations in the event that there is no OpenCL support available. ...