Lernfähige Bildtransformationstrainingsverfahren und Systeme bei der Grafikdarstellung

Details

Veröffentlichungs-Nr.

EP4446996

Aktenzeichen

EP24166000

Anmeldetag

25. März 2024

Veröffentlichung

16. Oktober 2024

Rechtsraum

EP

IPC

G06T5/60G06T5/00G06T15/00G06T15/50G06N3/047G06N3/045G06N3/088

Abstract

The present disclosure pertains to learnable image transformation training methods and systems in graphics rendering. There is provided a method for training a frame transformation pipeline being part of a graphics processing system and configured to transform rendered frames to produce enhanced frames comprising visual characteristics exhibited in a set of target images. The frame transformation pipeline comprises one or more shaders, defined by a parametrized mathematical function capable of replicating a particular visual characteristic. The training method comprises: receiving input images and target images; applying each shader to the input images to obtain candidate frames, and calculating, at a parametrized discriminator, a similarity indication between characteristics of the candidate frames and the target images. The method further comprises, in dependence on the indication, a parameter update step to parameters of the discriminator and one or more parametrized mathematical functions, wherein the parameter update step is configured to derive parameters the parametrized mathematical function so that the one or more shaders is arranged to impose their respective particular visual characteristics in dependence on an extent to which visual characteristic is exhibited in the target images.

Anmelder

Firma

Imagination Technologies Limited

Land

🇬🇧 Großbritannien

Fachgebiete