Showing 1-20 of 61 projects
Practical algorithm for real-world face restoration using GANs and deep learning.
Practical image/video restoration with Real-ESRGAN for developers
AI-powered image super-resolution for anime-style art using deep learning
Real-time anime upscaling with CNNs for 4K screens
A PyTorch-based library for robust and high-quality blind face restoration using a codebook lookup transformer.
Powerful AI-powered tool for upscaling, enlarging, and interpolating video, image, and GIF content.
A general-purpose window upscaler for Windows 10/11 with support for anime4k, fsr, and fluent design.
An open-source toolbox for image and video restoration tasks like super-resolution, denoising, and deblurring.
PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.
An open-source, multi-purpose AI creation toolbox for text-to-image, image/video processing, and more.
A cross-platform image super-resolution tool built with TypeScript, Vue3, and PyTorch.
ESRGAN is a super-resolution AI model that can upscale images with high perceptual quality.
A free and open-source inpainting & image-upscaling tool powered by WebGPU and WASM in the browser.
SUPIR is a Python library for developing practical algorithms for photo-realistic image restoration using AI.
An open-source project that provides a state-of-the-art image restoration model using the Swin Transformer architecture.
An AI-powered image super-resolution library that enhances low-quality images using deep learning techniques.
Super-scale images using Residual Dense and Adversarial Networks for computer vision tasks.
A curated collection of papers and resources related to various aspects of face recognition technology.
Unofficial PyTorch implementation of an image super-resolution model using iterative refinement.
A photo-realistic single image super-resolution using a generative adversarial network (SRGAN) library.
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