EFFICIENT NEURAL NETWORK ENCODING FORD 3D COLOR LOOKUP TABLES

    公开(公告)号:US20250168291A1

    公开(公告)日:2025-05-22

    申请号:US18798324

    申请日:2024-08-08

    Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for encoding color lookup tables (LUTs) by an apparatus. A method includes determining a first identifier corresponding to a first LUT of a plurality of LUTs, providing, to a trained machine learning model, the first identifier and an input lattice, obtaining, from the trained machine learning model, an output lattice corresponding to the first LUT, and performing color manipulation on at least one input image using the output lattice. Each LUT of the plurality of LUTs includes mappings from input color values to output color values. The trained machine learning model has been jointly trained on the plurality of LUTs and identification information corresponding to each LUT in the plurality of LUTs.

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