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公开(公告)号：US11645788B2
公开(公告)日：2023-05-09
申请号：US17233639
申请日：2021-04-19
Applicant: ADOBE INC.
Inventor： Guotong Feng , Alan Erickson , I-Ming Pao , Betty Leong , Hyunghwan Byun
CPC classification number: G06T11/00 , G06T7/11 , G06T2200/24 , G06T2207/10024 , G06T2207/20084 , G06T2210/36
Abstract: Systems and methods for image editing are described. Embodiments of the present disclosure provide an image editing system for performing image object replacement or image region replacement (e.g., an image editing system for replacing an object or region of an image with an object or region from another image). For example, the image editing system may replace a sky portion of an image with a more desirable sky portion from a different replacement image. According to some embodiments described herein, thumbnails, region location information, and image metadata from multiple preset images can be stored together and loaded for presentation and selection of a preset image for replacing a region of an image. Once a preset image (e.g., an image with a replacement sky) is selected, a high-resolution version of the image can be loaded and used to generate a composite image.
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公开(公告)号：US20210217216A1
公开(公告)日：2021-07-15
申请号：US17214918
申请日：2021-03-28
Applicant: Adobe Inc.
Inventor： Sarah Aye Kong , I-Ming Pao , Hyunghwan Byun
Abstract: Methods and systems are provided for presenting and using multiple masks based on a segmented image in editing the image. In particular, multiple masks can be presented to a user using a graphical user interface for easy selection and utilization in the editing of an image. The graphical user interface can include a display configured to display an image, a mask zone configured to display segmentations of the image using masks, and an edit zone configured to display edits to the image. Upon receiving segmentation for the image, the masks can be displayed in the mask zone where the masks are based on a selected segmentation detail level.
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3.发明申请公开(公告)号：US20190340462A1
公开(公告)日：2019-11-07
申请号：US15967928
申请日：2018-05-01
Applicant: Adobe Inc.
Inventor： I-Ming Pao , Zhe Lin , Sarah Stuckey , Jianming Zhang , Betty Leong
Abstract: 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.
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公开(公告)号：US20220335659A1
公开(公告)日：2022-10-20
申请号：US17233639
申请日：2021-04-19
Applicant: ADOBE INC.
Inventor： Guotong Feng , Alan Erickson , I-Ming Pao , Betty Leong , Hyunghwan Byun
Abstract: Systems and methods for image editing are described. Embodiments of the present disclosure provide an image editing system for performing image object replacement or image region replacement (e.g., an image editing system for replacing an object or region of an image with an object or region from another image). For example, the image editing system may replace a sky portion of an image with a more desirable sky portion from a different replacement image. According to some embodiments described herein, thumbnails, region location information, and image metadata from multiple preset images can be stored together and loaded for presentation and selection of a preset image for replacing a region of an image. Once a preset image (e.g., an image with a replacement sky) is selected, a high-resolution version of the image can be loaded and used to generate a composite image.
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公开(公告)号：US11069030B2
公开(公告)日：2021-07-20
申请号：US15928706
申请日：2018-03-22
Applicant: ADOBE INC.
Inventor： Xiaohui Shen , Zhe Lin , Xin Lu , Sarah Aye Kong , I-Ming Pao , Yingcong Chen
Abstract: Methods and systems are provided for generating enhanced image. A neural network system is trained where the training includes training a first neural network that generates enhanced images conditioned on content of an image undergoing enhancement and training a second neural network that designates realism of the enhanced images generated by the first neural network. The neural network system is trained by determine loss and accordingly adjusting the appropriate neural network(s). The trained neural network system is used to generate an enhanced aesthetic image from a selected image where the output enhanced aesthetic image has increased aesthetics when compared to the selected image.
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Patent Agency Ranking
公开(公告)号：US11042990B2
公开(公告)日：2021-06-22
申请号：US16176917
申请日：2018-10-31
Applicant: Adobe Inc.
Inventor： I-Ming Pao , Sarah Aye Kong , Alan Lee Erickson , Kalyan Sunkavalli , Hyunghwan Byun
Abstract: Systems and techniques for automatic object replacement in an image include receiving an original image and a preferred image. The original image is automatically segmented into an original image foreground region and an original image object region. The preferred image is automatically segmented into a preferred image foreground region and a preferred image object region. A composite image is automatically composed by replacing the original image object region with the preferred image object region such that the composite image includes the original image foreground region and the preferred image object region. An attribute of the composite image is automatically adjusted.
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公开(公告)号：US10366525B2
公开(公告)日：2019-07-30
申请号：US15712693
申请日：2017-09-22
Applicant: Adobe Inc.
Inventor： I-Ming Pao , Yuyan Song , Sarah Kong
Abstract: The present disclosure is directed toward systems and methods for generating an interactive digital media item based on a two-dimensional “selfie.” For example, one or more embodiments described herein identifies a face in the two-dimensional “selfie,” then builds and displays a three-dimensional model based on the identified face. One or more embodiments described herein also track movement of a viewer of a computing device displaying the three-dimensional model such that one or more portions of the three-dimensional model appear to follow the person viewing the “selfie.”
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公开(公告)号：US11776184B2
公开(公告)日：2023-10-03
申请号：US17204638
申请日：2021-03-17
Applicant: ADOBE INC.
Inventor： Jianming Zhang , Alan Erickson , I-Ming Pao , Guotong Feng , Kalyan Sunkavalli , Frederick Mandia , Hyunghwan Byun , Betty Leong , Meredith Payne Stotzner , Yukie Takahashi , Quynn Megan Le , Sarah Kong
IPC: G06T11/60 , G06F3/04842 , G06F3/04845 , G06T11/00
CPC classification number: G06T11/60 , G06F3/04842 , G06F3/04845 , G06T11/001
Abstract: The present disclosure provides systems and methods for image editing. Embodiments of the present disclosure provide an image editing system for perform image object replacement or image region replacement (e.g., an image editing system for replacing an object or region of an image with an object or region from another image). For example, the image editing system may replace a sky portion of an image with a more desirable sky portion from a different replacement image. The original image and the replacement image (e.g., the image including a desirable object or region) include layers of masks. A sky from the replacement image may replace the sky of the image to produce an aesthetically pleasing composite image.
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9.发明申请公开(公告)号：US20220148285A1
公开(公告)日：2022-05-12
申请号：US17584170
申请日：2022-01-25
Applicant: Adobe Inc.
Inventor： I-Ming Pao , Zhe Lin , Sarah Stuckey , Jianming Zhang , Betty Leong
Abstract: 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.
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公开(公告)号：US20210350504A1
公开(公告)日：2021-11-11
申请号：US17379622
申请日：2021-07-19
Applicant: ADOBE INC.
Inventor： Xiaohui Shen , Zhe Lin , Xin Lu , Sarah Aye Kong , I-Ming Pao , Yingcong Chen
Abstract: Methods and systems are provided for generating enhanced image. A neural network system is trained where the training includes training a first neural network that generates enhanced images conditioned on content of an image undergoing enhancement and training a second neural network that designates realism of the enhanced images generated by the first neural network. The neural network system is trained by determine loss and accordingly adjusting the appropriate neural network(s). The trained neural network system is used to generate an enhanced aesthetic image from a selected image where the output enhanced aesthetic image has increased aesthetics when compared to the selected image.
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