Abstract: A reprojection method for generating reprojected image data to be displayed on an XR device is described. The reprojection method comprising determining momentary position data, generating preliminary image data based on the momentary position data, determining updated position data. The momentary position data, the preliminary image data, and updated position data are then input into a machine-learning circuit, wherein the machine-learning circuit comprises a machine-learning model that is pre-trained to reproject the preliminary image data based on the momentary position data, the preliminary image data, and the updated position data. Thus, the preliminary image data is reprojected by means of the machine-learning circuit, thereby generating reprojected image data that corresponds to at least one reprojected XR image to be displayed on the XR device.

Abstract: A reprojection method for generating reprojected image data to be displayed on an XR device is described. The reprojection method comprises the steps of: determining momentary position data; generating preliminary image data based on the momentary position data; determining updated position data; inputting the momentary position data, the preliminary image data, and the updated position data into a machine-learning circuit, wherein the machine-learning circuit comprises a machine-learning model that is pre-trained to reproject the preliminary image data based on the momentary position data, the preliminary image data, and the updated position data; and reprojecting the preliminary image data by means of the machine-learning circuit, thereby generating reprojected image data, wherein the reprojected image data corresponds to at least one reprojected XR image to be displayed on the XR device.