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    LEARNABLE IMAGE TRANSFORMATION TRAINING METHODS AND SYSTEMS IN GRAPHICS RENDERING
    88.
    发明公开
    LEARNABLE IMAGE TRANSFORMATION TRAINING METHODS AND SYSTEMS IN GRAPHICS RENDERING 审中-公开

    公开(公告)号：EP4446996A1

    公开(公告)日：2024-10-16

    申请号：EP24166000.0

    申请日：2024-03-25

    申请人： Imagination Technologies Limited

    发明人： Salmi, Arturo Tommaso ,  Cséfalvay, Szabolcs ,  Imber, James

    IPC分类号： G06T15/00 ,  G06T5/00 ,  G06N3/088 ,  G06T15/50 ,  G06T5/60

    摘要： The present disclosure pertains to learnable image transformation training methods and systems in graphics rendering. There is provided a method for training a frame transformation pipeline being part of a graphics processing system and configured to transform rendered frames to produce enhanced frames comprising visual characteristics exhibited in a set of target images. The frame transformation pipeline comprises one or more shaders, defined by a parametrized mathematical function capable of replicating a particular visual characteristic. The training method comprises: receiving input images and target images; applying each shader to the input images to obtain candidate frames, and calculating, at a parametrized discriminator, a similarity indication between characteristics of the candidate frames and the target images. The method further comprises, in dependence on the indication, a parameter update step to parameters of the discriminator and one or more parametrized mathematical functions, wherein the parameter update step is configured to derive parameters the parametrized mathematical function so that the one or more shaders is arranged to impose their respective particular visual characteristics in dependence on an extent to which visual characteristic is exhibited in the target images.

    NEAR REAL-TIME FEATURE SIMULATION FOR ONLINE/OFFLINE POINT-IN-TIME DATA PARITY
    89.
    发明公开
    NEAR REAL-TIME FEATURE SIMULATION FOR ONLINE/OFFLINE POINT-IN-TIME DATA PARITY 审中-公开

    公开(公告)号：EP4446950A1

    公开(公告)日：2024-10-16

    申请号：EP24166265.9

    申请日：2024-03-26

    申请人： eBay Inc.

    发明人： LI, Jie ,  LI, Xin ,  SHI, Junjuan ,  TANG, Yingting ,  WANG, Yiheng ,  YU, Yucai ,  ZHU, Guansheng

    IPC分类号： G06N20/00

    摘要： Near real-time feature simulation for online/offline point-in-time data parity is described. A computing device may assign, to respective events from a series of events, a series of time stamps associated with a near real-time (NRT) variable. The computing device may simulate a delay latency associated with processing the respective events via an online processing environment based on the series of time stamps. The computing device may provide the series of events and the simulated delay latency to a machine-learning model configured to model an outcome of the series of events using the simulated delay latency.