Scene-based foveated rendering of graphics content

    公开(公告)号:US10482648B2

    公开(公告)日:2019-11-19

    申请号:US15377488

    申请日:2016-12-13

    Abstract: An apparatus is configured to render graphics content to reduce latency of the graphics content. The apparatus includes a display configured to present graphics content including a first portion corresponding to an area of interest and further including a second portion. The apparatus further includes a fovea estimation engine configured to generate an indication of the area of interest based on scene information related to the graphics content. The apparatus further includes a rendering engine responsive to the fovea estimation engine. The rendering engine is configured to perform a comparison of a first result of an evaluation metric on part of the area of interest with a second result of the evaluation metric with another part of the area of interest. The rendering engine is further configured to render the graphics content using predictive adjustment to reduce latency based on the comparison.

    SCENE-BASED FOVEATED RENDERING OF GRAPHICS CONTENT

    公开(公告)号:US20180165792A1

    公开(公告)日:2018-06-14

    申请号:US15377488

    申请日:2016-12-13

    Abstract: An apparatus is configured to render graphics content to reduce latency of the graphics content. The apparatus includes a display configured to present graphics content including a first portion corresponding to an area of interest and further including a second portion. The apparatus further includes a fovea estimation engine configured to generate an indication of the area of interest based on scene information related to the graphics content. The apparatus further includes a rendering engine responsive to the fovea estimation engine. The rendering engine is configured to perform a comparison of a first result of an evaluation metric on part of the area of interest with a second result of the evaluation metric with another part of the area of interest. The rendering engine is further configured to render the graphics content using predictive adjustment to reduce latency based on the comparison.

    Motion estimation through input perturbation

    公开(公告)号:US11388432B2

    公开(公告)日:2022-07-12

    申请号:US16215547

    申请日:2018-12-10

    Abstract: The present disclosure relates to methods and devices for motion estimation which may include a GPU. In one aspect, the GPU may generate at least one first motion vector in a first subset of a frame, the first motion vector providing a first motion estimation for image data in the first subset of the frame. The GPU may also perturb the image data. Also, the GPU may generate at least one second motion vector based on the perturbed image data, the second motion vector providing a second motion estimation for the image data. Moreover, the GPU may compare the first motion vector and the second motion vector. Further, the GPU may determine at least one third motion vector for the motion estimation of the image data based on the comparison between the first motion vector and the second motion vector.

    SCENE-BASED FOVEATED RENDERING OF GRAPHICS CONTENT

    公开(公告)号:US20200066024A1

    公开(公告)日:2020-02-27

    申请号:US16674669

    申请日:2019-11-05

    Abstract: An apparatus is configured to render graphics content to reduce latency of the graphics content. The apparatus includes a display configured to present graphics content including a first portion corresponding to an area of interest and further including a second portion. The apparatus further includes a fovea estimation engine configured to generate an indication of the area of interest based on scene information related to the graphics content. The apparatus further includes a rendering engine responsive to the fovea estimation engine. The rendering engine is configured to perform a comparison of a first result of an evaluation metric on part of the area of interest with a second result of the evaluation metric with another part of the area of interest. The rendering engine is further configured to render the graphics content using predictive adjustment to reduce latency based on the comparison.

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