公开(公告)号：US11972569B2

公开(公告)日：2024-04-30

申请号：US17158527

申请日：2021-01-26

Applicant: Adobe Inc.

Inventor： Brian Price ,  David Hart ,  Zhihong Ding ,  Scott Cohen

IPC: G06T7/11 ,  G06T3/40 ,  G06T3/4046 ,  G06T7/174 ,  G06T7/187

CPC classification number: G06T7/11 ,  G06T3/4046 ,  G06T7/174 ,  G06T7/187

Abstract: The present disclosure relates to a multi-model object segmentation system that provides a multi-model object segmentation framework for automatically segmenting objects in digital images. In one or more implementations, the multi-model object segmentation system utilizes different types of object segmentation models to determine a comprehensive set of object masks for a digital image. In various implementations, the multi-model object segmentation system further improves and refines object masks in the set of object masks utilizing specialized object segmentation models, which results in more improved accuracy and precision with respect to object selection within the digital image. Further, in some implementations, the multi-model object segmentation system generates object masks for portions of a digital image otherwise not captured by various object segmentation models.

公开(公告)号：US20220237799A1

公开(公告)日：2022-07-28

申请号：US17158527

申请日：2021-01-26

Applicant: Adobe Inc.

Inventor： Brian Price ,  David Hart ,  Zhihong Ding ,  Scott Cohen

IPC: G06T7/11 ,  G06T7/187 ,  G06T7/174 ,  G06T3/40

Abstract: The present disclosure relates to a multi-model object segmentation system that provides a multi-model object segmentation framework for automatically segmenting objects in digital images. In one or more implementations, the multi-model object segmentation system utilizes different types of object segmentation models to determine a comprehensive set of object masks for a digital image. In various implementations, the multi-model object segmentation system further improves and refines object masks in the set of object masks utilizing specialized object segmentation models, which results in more improved accuracy and precision with respect to object selection within the digital image. Further, in some implementations, the multi-model object segmentation system generates object masks for portions of a digital image otherwise not captured by various object segmentation models.