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：US20210350504A1

公开(公告)日：2021-11-11

申请号：US17379622

申请日：2021-07-19

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：US20190295223A1

公开(公告)日：2019-09-26

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.