Image rendering method and apparatus

    公开(公告)号:US12056807B2

    公开(公告)日:2024-08-06

    申请号:US17698186

    申请日:2022-03-18

    CPC classification number: G06T15/20 G06T15/506 G06N20/00

    Abstract: An image rendering method for rendering a pixel at a viewpoint includes, for a first element of a virtual scene, having a predetermined surface at a position within that scene; providing the position and a direction based on the viewpoint to a machine learning system previously trained to predict a factor that, when combined with a distribution function that characterises an interaction of light with the predetermined surface, generates a pixel value corresponding to the first element of the virtual scene as illuminated at the position, combining the predicted factor from the machine learning system with the distribution function to generate the pixel value corresponding to the illuminated first element of the virtual scene at the position, and incorporating the pixel value into a rendered image for display, where the machine learning system was previously trained with a training set based on images comprising multiple lighting conditions.

    GRAPHICS DATA PROCESSING
    6.
    发明公开

    公开(公告)号:US20230158403A1

    公开(公告)日:2023-05-25

    申请号:US18058311

    申请日:2022-11-23

    CPC classification number: A63F13/52 A63F13/25 A63F2300/538

    Abstract: A data processing apparatus includes storage circuitry to store graphics data for a first device, receiving circuitry to receive second device information indicative of one or more properties for a second device with one or more different capabilities to the first device, control circuitry to reduce a quality of at least one aspect of the graphics data in dependence upon the second device information to obtain modified graphics data and output circuitry to output the modified graphics data, where the control circuitry is configured to reduce a quality of the at least one aspect according to a predetermined quality level from a plurality of predetermined quality levels for the at least one aspect, the predetermined quality level identified in dependence upon the second device information.

    Head-mountable apparatus, systems and methods

    公开(公告)号:US11460707B2

    公开(公告)日:2022-10-04

    申请号:US16601705

    申请日:2019-10-15

    Abstract: A head-mounted display (HMD) apparatus comprises a head attachment unit comprising a first attachment member configured to attach the HMD to a user's head when the HMD is worn by the user and a first element having an adjustable weight distribution, and an adjustment unit configured to adjust a distribution of the weight of the HMD based on user profile information associated with the user, wherein the adjustment unit is configured to adjust the weight distribution of the first element of the HMD based on the user profile information by adjusting a configuration of one or more mobile components of the first element without adjusting a position or an orientation of the first element with respect to the HMD.

    IMAGE RENDERING METHOD AND APPARATUS

    公开(公告)号:US20220309740A1

    公开(公告)日:2022-09-29

    申请号:US17698186

    申请日:2022-03-18

    Abstract: An image rendering method for rendering a pixel at a viewpoint includes, for a first element of a virtual scene, having a predetermined surface at a position within that scene; providing the position and a direction based on the viewpoint to a machine learning system previously trained to predict a factor that, when combined with a distribution function that characterises an interaction of light with the predetermined surface, generates a pixel value corresponding to the first element of the virtual scene as illuminated at the position, combining the predicted factor from the machine learning system with the distribution function to generate the pixel value corresponding to the illuminated first element of the virtual scene at the position, and incorporating the pixel value into a rendered image for display, where the machine learning system was previously trained with a training set based on images comprising multiple lighting conditions.

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