公开(公告)号：US20240362791A1

公开(公告)日：2024-10-31

申请号：US18307353

申请日：2023-04-26

Applicant: Adobe Inc.

Inventor： Yuqian Zhou ,  Chuong Huynh ,  Connelly Barnes ,  Elya Shechtman ,  Sohrab Amirghodsi ,  Zhe Lin

IPC: G06T7/12 ,  G06F3/04883 ,  G06V10/44 ,  G06V10/74 ,  G06V10/80

CPC classification number: G06T7/12 ,  G06F3/04883 ,  G06V10/44 ,  G06V10/761 ,  G06V10/806 ,  G06T2207/20101 ,  G06V2201/07

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning to generate a mask for an object portrayed in a digital image. For example, in some embodiments, the disclosed systems utilize a neural network to generate an image feature representation from the digital image. The disclosed systems can receive a selection input identifying one or more pixels corresponding to the object. In addition, in some implementations, the disclosed systems generate a modified feature representation by integrating the selection input into the image feature representation. Moreover, in one or more embodiments, the disclosed systems utilize an additional neural network to generate a plurality of masking proposals for the object from the modified feature representation. Furthermore, in some embodiments, the disclosed systems utilize a further neural network to generate the mask for the object from the modified feature representation and/or the masking proposals.