公开(公告)号：US11880977B2

公开(公告)日：2024-01-23

申请号：US17313158

申请日：2021-05-06

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Scott Cohen ,  Marco Forte ,  Ning Xu

IPC: G06T7/11 ,  G06T7/136 ,  G06T7/194 ,  G06T7/90 ,  G06T3/40 ,  G06N3/088 ,  G06N3/045 ,  G06N3/02 ,  G06N20/00

CPC classification number: G06T7/11 ,  G06N3/045 ,  G06N3/088 ,  G06T3/40 ,  G06T7/136 ,  G06T7/194 ,  G06T7/90 ,  G06N3/02 ,  G06N20/00 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20096 ,  G06T2207/20104

Abstract: Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.

公开(公告)号：US20210256708A1

公开(公告)日：2021-08-19

申请号：US17313158

申请日：2021-05-06

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Scott Cohen ,  Marco Forte ,  Ning Xu

IPC: G06T7/194 ,  G06T7/136 ,  G06T7/90 ,  G06T3/40 ,  G06N3/04 ,  G06N3/08 ,  G06K9/46

Abstract: Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.

公开(公告)号：US11004208B2

公开(公告)日：2021-05-11

申请号：US16365213

申请日：2019-03-26

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Scott Cohen ,  Marco Forte ,  Ning Xu

IPC: G06T7/194 ,  G06T7/136 ,  G06T7/90 ,  G06T3/40 ,  G06N3/04 ,  G06N3/08 ,  G06K9/46

Abstract: Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.

公开(公告)号：US20200311946A1

公开(公告)日：2020-10-01

申请号：US16365213

申请日：2019-03-26

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Scott Cohen ,  Marco Forte ,  Ning Xu

IPC: G06T7/194 ,  G06T7/136 ,  G06T3/40 ,  G06T7/90

Abstract: Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.