1 Repo
Awesome GitHub RepositoriesSupervised Scratch Detections
Defect detection methods that utilize labeled paired data to identify scratched areas in images.
Distinct from From-Scratch Trainings: Specifically covers supervised labeling for scratch detection, unlike the generic training candidates provided.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Supervised Scratch Detections. Refine with filters or upvote what's useful.
Awesome Supervised Scratch Detections GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- microsoft/bringing-old-photos-back-to-life
microsoft/Bringing-Old-Photos-Back-to-Life
15,691Auf GitHub ansehenThis project is a deep learning image restoration tool designed to remove scratches, fading, and noise from aged photographs and film. It utilizes generative adversarial networks for image translation, alongside specialized networks for face enhancement and video colorization. The system distinguishes itself through a combination of latent-space domain mapping and progressive face enhancement to recover blurred or missing high-frequency facial details. For video content, it employs a colorization framework that uses optical flow and temporal guidance to propagate color from selected keyframes
Identifies and labels scratched areas in old photos to generate paired data for training restoration models.
Pythongansgenerative-adversarial-networkimage-manipulation
