公开(公告)号：US11842468B2

公开(公告)日：2023-12-12

申请号：US17178681

申请日：2021-02-18

Applicant: Adobe Inc.

Inventor： Pei Wang ,  Yijun Li ,  Jingwan Lu ,  Krishna Kumar Singh

IPC: G06K9/00 ,  G06T5/50 ,  G06N3/04 ,  G06V10/75 ,  G06F18/22 ,  G06F18/24

CPC classification number: G06T5/50 ,  G06F18/22 ,  G06F18/24 ,  G06N3/04 ,  G06V10/751 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06V10/759

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize image-guided model inversion of an image classifier with a discriminator. The disclosed systems utilize a neural network image classifier to encode features of an initial image and a target image. The disclosed system also reduces a feature distance between the features of the initial image and the features of the target image at a plurality of layers of the neural network image classifier by utilizing a feature distance regularizer. Additionally, the disclosed system reduces a patch difference between image patches of the initial image and image patches of the target image by utilizing a patch-based discriminator with a patch consistency regularizer. The disclosed system then generates a synthesized digital image based on the constrained feature set and constrained image patches of the initial image.

公开(公告)号：US20220261972A1

公开(公告)日：2022-08-18

申请号：US17178681

申请日：2021-02-18

Applicant: Adobe Inc.

Inventor： Pei Wang ,  Yijun Li ,  Jingwan Lu ,  Krishna Kumar Singh

IPC: G06T5/50 ,  G06K9/62 ,  G06N3/04

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize image-guided model inversion of an image classifier with a discriminator. The disclosed systems utilize a neural network image classifier to encode features of an initial image and a target image. The disclosed system also reduces a feature distance between the features of the initial image and the features of the target image at a plurality of layers of the neural network image classifier by utilizing a feature distance regularizer. Additionally, the disclosed system reduces a patch difference between image patches of the initial image and image patches of the target image by utilizing a patch-based discriminator with a patch consistency regularizer. The disclosed system then generates a synthesized digital image based on the constrained feature set and constrained image patches of the initial image.