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.

    IMAGE RENDERING METHOD AND APPARATUS

    公开(公告)号:US20220309744A1

    公开(公告)日:2022-09-29

    申请号:US17699887

    申请日:2022-03-21

    Abstract: An image rendering method for rendering a pixel at a viewpoint including: 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.

    BAD ACTOR DETECTION SYSTEM AND METHOD

    公开(公告)号:US20250161819A1

    公开(公告)日:2025-05-22

    申请号:US18919981

    申请日:2024-10-18

    Abstract: A method is disclosed of detecting whether a first user is a bad actor within a platform network, in which the platform network enables interactions between individuals within video games, the method comprising the steps of measuring for the first user one or more selected from the list consisting of at least a first a game-agnostic behaviour metric that measures an investment of effort by the first user in interactions with other individuals; and at least a first a game-dependent behaviour metric that measures in-game patterns of interaction with other individuals by the first user, comparing the or each metric with an average or reference metric for a typical individual, and where a difference in the comparison or a combination of the comparisons meets a first criterion, treating this as indicative that the first user may be a bad actor.

    IMAGE RENDERING METHOD AND APPARATUS

    公开(公告)号:US20220309742A1

    公开(公告)日:2022-09-29

    申请号:US17699376

    申请日:2022-03-21

    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, evaluating whether to render a pixel corresponding to the first element using at least a first machine learning system having been trained to generate an illuminance output representative of the lighting of the predetermined surface at the position, or using an alternative rendering approach, and rendering the pixel according to which of the at least first machine learning system and the alternative rendering approach are chosen in the evaluating step; where the evaluating step comprises obtaining a confidence value from the at least first machine learning system indicative of the accuracy of the illuminance output, the machine learning system having been trained to generate the confidence value in conjunction with the illuminance output, and the rendering step comprises using the alternative rendering approach if the confidence value does not satisfy a predetermined threshold value.

    IMAGE RENDERING METHOD AND APPARATUS

    公开(公告)号:US20220309745A1

    公开(公告)日:2022-09-29

    申请号:US17699778

    申请日:2022-03-21

    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, evaluating whether to render a pixel corresponding to the first element using a machine learning system having been trained to output a value representative of the lighting of the predetermined surface at the position, or using an alternative rendering approach, and rendering the pixel according to which of the machine learning system and the alternative rendering approach are chosen.

    IMAGE RENDERING METHOD AND APPARATUS

    公开(公告)号:US20220309735A1

    公开(公告)日:2022-09-29

    申请号:US17698264

    申请日:2022-03-18

    Abstract: An image rendering method for a virtual scene includes, for a plurality of IDs, generating a respective mask identifying elements of the scene that are associated with a respective ID; for the resulting plurality of masks, dividing a respective mask into a plurality of tiles; and discarding tiles that do not identify any image elements; for the resulting plurality of remaining tiles, selecting a respective trained machine learning model from among a plurality of machine learning models, the respective machine learning model having been trained to generate data contributing to a render of at least a part of an image, based upon elements of the scene associated with the same respective ID as the elements identified in the mask from which the respective tile was divided; and using the respective trained machine learning model to generate data contributing to a render of at least a part of the image based upon input data at least for the identified elements in the respective tile.

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