Iteratively applying neural networks to automatically segment objects portrayed in digital images
AssigneeAdobe Inc.
InventorsI-Ming Pao, Zhe Lin, Sarah Stuckey, Jianming Zhang, Betty Leong
Life of this patent
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AssigneeAdobe Inc.
InventorsI-Ming Pao, Zhe Lin, Sarah Stuckey, Jianming Zhang, Betty Leong
Estimating the term…
The present disclosure relates to systems, method, and computer readable media that iteratively apply a neural network to a digital image at a reduced resolution to automatically identify pixels of salient objects portrayed within the digital image. For example, the disclosed systems can generate a reduced-resolution digital image from an input digital image and apply a neural network to identify a region corresponding to a salient object. The disclosed systems can then iteratively apply the neural network to additional reduced-resolution digital images (based on the identified region) to generate one or more reduced-resolution segmentation maps that roughly indicate pixels of the salient object. In addition, the systems described herein can perform post-processing based on the reduced-resolution segmentation map(s) and the input digital image to accurately determine pixels that correspond to the salient object.
A system comprising:
A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computing device to perform operations comprising:
In a digital medium environment for editing high-resolution digital images, a computer-implemented method comprising:
Dependencies are inferred from the claim text.