Super resolution upscaling
    1.
    发明授权

    公开(公告)号:US12293485B2

    公开(公告)日:2025-05-06

    申请号:US17976192

    申请日:2022-10-28

    Abstract: A first frame of a video stream rendered at a first resolution is obtained. A second frame of the video stream upscaled to a second higher resolution is also obtained. The first plurality of pixels is upscaled to the second resolution. The upsampling generates upsampled color data for the upsampled first plurality of pixels. The upsampled color data is accumulated with a second set of color data associated with a second plurality of pixels defining the second frame to generate final color data for the upsampled first plurality of pixels. Color data of the second set of color data associated with a pixel lock contributes more to the final color data than corresponding color data of the upsampled color data. The upsampled first plurality of pixels is stored with the final color data as an upscaled frame representing the first frame at the second resolution.

    SUPER RESOLUTION UPSCALING
    4.
    发明公开

    公开(公告)号:US20230298133A1

    公开(公告)日:2023-09-21

    申请号:US17976192

    申请日:2022-10-28

    CPC classification number: G06T3/4053 G06T7/248

    Abstract: A first frame of a video stream rendered at a first resolution is obtained. A second frame of the video stream upscaled to a second higher resolution is also obtained. The first plurality of pixels is upscaled to the second resolution. The upsampling generates upsampled color data for the upsampled first plurality of pixels. The upsampled color data is accumulated with a second set of color data associated with a second plurality of pixels defining the second frame to generate final color data for the upsampled first plurality of pixels. Color data of the second set of color data associated with a pixel lock contributes more to the final color data than corresponding color data of the upsampled color data. The upsampled first plurality of pixels is stored with the final color data as an upscaled frame representing the first frame at the second resolution.

    Task graph generation for workload processing

    公开(公告)号:US11275586B2

    公开(公告)日:2022-03-15

    申请号:US16888521

    申请日:2020-05-29

    Abstract: Techniques for generating a task graph for workload scheduling based on a task graph specification program are provided. The techniques include executing control flow instructions of the task graph specification program to traverse the task graph specification program; generating pass nodes of the task graph based on pass instructions of the task graph specification program; generating resource nodes and directed edges based on resource declarations of the task graph specification program; and outputting the task graph specification program to a command scheduler for scheduling.

    JOB SCHEDULING USING REINFORCEMENT LEARNING
    9.
    发明公开

    公开(公告)号:US20230154100A1

    公开(公告)日:2023-05-18

    申请号:US17529916

    申请日:2021-11-18

    CPC classification number: G06T15/005 G06F9/4881 G06N20/00

    Abstract: Systems, methods, and techniques utilize reinforcement learning to efficiently schedule a sequence of jobs for execution by one or more processing threads. A first sequence of execution jobs associated with rendering a target frame of a sequence of frames is received. One or more reward metrics related to rendering the target frame are selected. A modified sequence of execution jobs for rendering the target frame is generated, such as by reordering the first sequence of execution jobs. The modified sequence is evaluated with respect to the selected reward metric(s); and rendering the target frame is initiated based at least in part on the evaluating of the modified sequence with respect to the one or more selected reward metric(s).

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