Bilderzeugungsmodell auf der Basis von Log-Wahrscheinlichkeit

Details

Veröffentlichungs-Nr.

EP3975038

Aktenzeichen

EP20199057

Anmeldetag

29. September 2020

Veröffentlichung

11. März 2026

Erteilung

11. März 2026

Rechtsraum

EP

IPC

G06T11/00

Abstract

The invention relates to a computer-implemented method (700) of training an image generation model. The image generation model comprises an argmax transformation configured to compute a discrete index feature indicating an index of a feature of the continuous feature vector with an extreme value. The image generation model is trained using a log-likelihood optimization. This involves obtaining a value of the index feature for the training image, sampling values of the continuous feature vector given the value of the index feature according to a stochastic inverse transformation of the argmax transformation, and determining a likelihood contribution of the argmax transformation for the log-likelihood based on a probability that the stochastic inverse transformation generates the values of the continuous feature vector given the value of the index feature.

Anmelder

Firma

Robert Bosch GmbH

Land

🇩🇪 Deutschland

Fachgebiete