Erzeugung von Trainingsdaten für Verbesserte Hochauflösende Modelle oder Downscaler-Netzwerke

Details

Veröffentlichungs-Nr.

EP4819032

Anmeldetag

25. März 2026

Veröffentlichung

7. Oktober 2026

Rechtsraum

EP

IPC

G06T3/4053

Abstract

A computing system generates a trained super-resolution model using correlated high-resolution and low-resolution image pairs. A first image generator produces high-resolution images, which are processed by a downscaler network to create corresponding low-resolution images. The downscaler network is trained using an initial set of image pairs. Additional high-resolution images are generated and processed by the downscaler network to produce additional low-resolution images, forming a second set of image pairs. The super-resolution model is trained using the second set of image pairs. The trained super-resolution model processes low-resolution images to generate enhanced images with improved detail and reduced artifacts. The model can be used to increase resolution of input images or refine details without changing resolution. The trained model may be deployed on different devices and applied across various rendering environments.

Anmelder

Firma

Microsoft Technology Licensing, LLC

Land

🇺🇸 USA

Fachgebiete