The best open source alternative to Waifu2x Caffe is Upscayl. If that doesn't suit you, our users have ranked more than 25 alternatives to Waifu2x Caffe and 15 is open source so hopefully you can find a suitable replacement. Other interesting open source alternatives to Waifu2x Caffe are REAL Video Enhancer, waifu2x, Video2X and Real-ESRGAN.
Open source desktop tool using advanced AI to enlarge and enhance images without loss of quality, available for Linux, macOS, and Windows. Linux-first development gives early access to Linux users. Requires Vulkan compatible GPU for upscaling.
Cross-platform tool offering advanced video upscaling and frame interpolation using RIFE, RealESRGAN, Waifu2x, and IFRNET, with scene change detection, instant preview, Discord integration, and ability to enhance local files or YouTube videos on major operating systems.
Image Super-Resolution [upscaling] for Anime-style [low detail] art or images using Deep Convolutional Neural Networks.
Video2X is a video/GIF/image upscaling software based on Waifu2X, Anime4K, SRMD and RealSR written in Python 3. It upscales videos, GIFs and images, restoring details from low-resolution inputs. Video2X also accepts GIF input to video output and video input to GIF output.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A flowchart/node-based image processing GUI aimed at making chaining image processing tasks (especially upscaling done by neural networks) easy, intuitive, and customizable.
An image, gif and video upscaling and denoiser app developed with electron, react, waifu2x and ffmpeg.
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
RealScaler is a Windows app based on Real-ESRGAN AI to enhance, enlarge and reduce noise in photographs and videos.
jdPixelUpscaler upscales images by simply replacing one pixel with several of the same color. For example, if you set the scaling factor to 2, one pixel becomes 2x2 pixels of the same color. No attention is paid to the surrounding pixels or to transitions.
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