公开(公告)号：US11069030B2

公开(公告)日：2021-07-20

申请号：US15928706

申请日：2018-03-22

Applicant: ADOBE INC.

Inventor： Xiaohui Shen ,  Zhe Lin ,  Xin Lu ,  Sarah Aye Kong ,  I-Ming Pao ,  Yingcong Chen

IPC: G06T5/00 ,  G06N3/08 ,  G06K9/62 ,  G06K9/66

Abstract: Methods and systems are provided for generating enhanced image. A neural network system is trained where the training includes training a first neural network that generates enhanced images conditioned on content of an image undergoing enhancement and training a second neural network that designates realism of the enhanced images generated by the first neural network. The neural network system is trained by determine loss and accordingly adjusting the appropriate neural network(s). The trained neural network system is used to generate an enhanced aesthetic image from a selected image where the output enhanced aesthetic image has increased aesthetics when compared to the selected image.

公开(公告)号：US11042990B2

公开(公告)日：2021-06-22

申请号：US16176917

申请日：2018-10-31

Applicant: Adobe Inc.

Inventor： I-Ming Pao ,  Sarah Aye Kong ,  Alan Lee Erickson ,  Kalyan Sunkavalli ,  Hyunghwan Byun

IPC: G06K9/00 ,  G06T7/194 ,  G06N3/08 ,  G06T11/40 ,  G06T7/11

Abstract: Systems and techniques for automatic object replacement in an image include receiving an original image and a preferred image. The original image is automatically segmented into an original image foreground region and an original image object region. The preferred image is automatically segmented into a preferred image foreground region and a preferred image object region. A composite image is automatically composed by replacing the original image object region with the preferred image object region such that the composite image includes the original image foreground region and the preferred image object region. An attribute of the composite image is automatically adjusted.