ADDING DIVERSITY TO GENERATED IMAGES

    公开(公告)号:US20250131604A1

    公开(公告)日:2025-04-24

    申请号:US18491472

    申请日:2023-10-20

    Applicant: ADOBE INC.

    Abstract: Embodiments include obtaining a prompt and a diversity input indicating a level of adherence to the prompt. The diversity input may be implemented as a graphical user interface (GUI) element, such as a slider or field. Embodiments then generate a guidance embedding based on the prompt and the diversity input. Embodiments update the guidance embedding based on the diversity input. Subsequently, embodiments generate a synthetic image based on the guidance embedding, wherein the synthetic image depicts an element of the prompt based on the level of adherence from the diversity input.

    UNIVERSAL STYLE TRANSFER USING MULTI-SCALE FEATURE TRANSFORM AND USER CONTROLS

    公开(公告)号:US20230082050A1

    公开(公告)日:2023-03-16

    申请号:US17447893

    申请日:2021-09-16

    Applicant: Adobe Inc.

    Abstract: Techniques for generating style-transferred images are provided. In some embodiments, a content image, a style image, and a user input indicating one or more modifications that operate on style-transferred images are received. In some embodiments, an initial style-transferred image is generated using a machine learning model. In some examples, the initial style-transferred image comprises features associated with the style image applied to content included in the content image. In some embodiments, a modified style-transferred image is generated by modifying the initial style-transferred image based at least in part on the user input indicating the one or more modifications.

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