Invention Grant
- Patent Title: Generating an image mask for a digital image by utilizing a multi-branch masking pipeline with neural networks
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Application No.: US16988055Application Date: 2020-08-07
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Publication No.: US11651477B2Publication Date: 2023-05-16
- Inventor: He Zhang , Seyed Morteza Safdarnejad , Yilin Wang , Zijun Wei , Jianming Zhang , Salil Tambe , Brian Price
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T7/194 ; G06N3/08 ; G06T3/40

Abstract:
Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a plurality of neural networks in a multi-branch pipeline to generate image masks for digital images. Specifically, the disclosed system can classify a digital image as a portrait or a non-portrait image. Based on classifying a portrait image, the disclosed system can utilize separate neural networks to generate a first mask portion for a portion of the digital image including a defined boundary region and a second mask portion for a portion of the digital image including a blended boundary region. The disclosed system can generate the mask portion for the blended boundary region by utilizing a trimap generation neural network to automatically generate a trimap segmentation including the blended boundary region. The disclosed system can then merge the first mask portion and the second mask portion to generate an image mask for the digital image.
Information query