Popular GitHub Repositories for Jpeg Compresion

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

AI无损放大工具

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

Semantic JPEG image compression using deep convolutional neural network (CNN)

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

A U-net GAN for jpeg artifact removal

Your AI Powered Enterprise Knowledge Partner. Designed to be used at scale from ingesting large amounts of documents formats such as pdfs, docx, xlsx, png, jpgs, tiff, mp3, mp4, jpeg. Integrates with s3, Windows Shares, Google Drive and more.

an Android image compression and denoising app

PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction

PixelPruner is a user-friendly image cropping app for AI-generated art. It supports PNG, JPG, JPEG, and WEBP formats. Easily crop, preview, and manage images with interactive previews, thumbnail views, rotation tools, and customizable output folders. Streamline your workflow and achieve perfect crops every time with PixelPruner.

A Node.js CLI and library that uses OpenAI, Ollama, ZhipuAI, Google Gemini or Coze to write AI-generated image descriptions and/or tags to EXIF metadata by its content.

Read the EXIF metadata (tEXT, IDAT) and discover the prompt, seed and more of AI images generated using AUTOMATIC1111, InvokeAI or NMKD. Supports .png and .jpeg

Extension that gives AI images a realistic phone camera look with grain, noise, sharpening, and JPEG compression, while preserving metadata and supporting custom presets

This is an implementation of the "OneHot" CNN for JPEG steganalysis

Official implementation of the article "Unsupervised JPEG Domain Adaptation For Practical Digital Forensics"

Gemini File API is a backend service designed to process and summarize PDF and image files using advanced AI models like Google Gemini. The API allows users to upload PDF documents and image files (PNG, JPG, JPEG), which are then processed to generate concise and clean summaries or extract text from images.

Flutter mobile and web app for simplifying learning process. Capable of working with pdf, jpeg, txt, doc files. Can summarize documents and create quizes based on summary