公开(公告)号：US20250104399A1

公开(公告)日：2025-03-27

申请号：US18473603

申请日：2023-09-25

Applicant: ADOBE INC.

Inventor： Sheng-Yu Wang ,  Alexei A. Efros ,  Junyan Zhu ,  Richard Zhang

IPC: G06V10/77 ,  G06N3/0895 ,  G06V10/74 ,  G06V10/774 ,  G06V10/82

Abstract: Embodiments of the present disclosure perform training attribution by identifying a synthesized image and a training image, where the synthesized image was generated by an image generation model that was trained with the training image. A machine learning model computes first attribution features for the synthesized image using a first mapping layer and second attribution features for the training image using a second mapping layer that is different from the first mapping layer. Then, an attribution score is generated based on the first attribution features and the second attribution features, where the attribution score indicates a degree of influence for the training image on generating the synthesized image.