Library/Real-ESRGAN
Library/Real-ESRGANForked

xinntao/Real-ESRGAN

Real-ESRGAN

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

Builder

xinntao

xinntao

xinntao • individual

Stars

34,842

Using upstream star count

Forks

4,291

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 19, 2021

Project creation date

README Summary

Real-ESRGAN is a practical restoration algorithm for real-world blind super-resolution that can enhance low-resolution images and videos. The project provides pre-trained models and tools for upscaling images with improved quality compared to traditional methods. It focuses on handling real-world degradations rather than synthetic ones.

AI Dev Skills

Unmapped

Super-Resolution Neural NetworksGenerative Adversarial Networks (GANs)Computer VisionImage ProcessingDeep LearningConvolutional Neural NetworksImage RestorationVideo Enhancement

Tags

Super-Resolution Neural NetworksGenerative Adversarial Networks (GANs)Computer VisionImage ProcessingDeep LearningConvolutional Neural NetworksImage RestorationVideo EnhancementOld Photo RecoveryPhotographyGamingSatellite ImageryThumbnail EnhancementLow-Quality Video ImprovementAnime/Artwork EnhancementSurveillanceEntertainmentMedia ProductionVideo UpscalingImage Super-ResolutionSelf-hostedOn-premiseMedical ImagingImageCloud APIEdge/MobileReal-time Image ProcessingComputer Vision ApplicationsPhoto RestorationGenerative AIVideoPython

Taxonomy

Recent Activity

Updated 1 years ago

7 Days

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30 Days

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90 Days

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Quality

production
Quality
high
Maturity
production

Categories

Industry: HealthcarePrimarySafety & AlignmentCoding & Dev ToolsHealthcare & BiologyEdge & Mobile AIOther AI / MLInference & ServingGenerative MediaComputer Vision

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Jul 19, 2021
Forked
Mar 22, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Aug 6, 2024

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