EVALUATING BIAS IN GENERATIVE MODELS

    公开(公告)号:US20240386707A1

    公开(公告)日:2024-11-21

    申请号:US18319731

    申请日:2023-05-18

    Applicant: Adobe Inc.

    Abstract: In implementations of systems for evaluating bias in generative models, a computing device implements a bias system to generate a modified digital image by processing an input digital image using a first machine learning model trained on training data to generate modified digital images based on input digital images. The bias system computes a first latent representation of the input digital image and a second latent representation of the modified digital image using a second machine learning model trained on training data to compute latent representations of digital images. A bias score is determined for a visual attribute based on the first latent representation and the second latent representation. The bias system generates an indication of the bias score for the visual attribute for display in a user interface.

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