- 专利标题: Synthesizing digital images utilizing image-guided model inversion of an image classifier
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申请号: US17178681申请日: 2021-02-18
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公开(公告)号: US11842468B2公开(公告)日: 2023-12-12
- 发明人: Pei Wang , Yijun Li , Jingwan Lu , Krishna Kumar Singh
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Keller Preece PLLC
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T5/50 ; G06N3/04 ; G06V10/75 ; G06F18/22 ; G06F18/24
摘要:
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.
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