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公开(公告)号:US12062176B2
公开(公告)日:2024-08-13
申请号:US17087086
申请日:2020-11-02
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Gagan Singhal
CPC classification number: G06T7/11 , G06T7/254 , G06T7/90 , G06T11/60 , G06T2207/10024 , G06T2207/20084
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for detecting and indicating modifications between a digital image and a modified version of a digital image. For example, the disclosed systems generates an ordered collection of change records in response to detecting modifications to the digital image. The disclosed systems generates determine one or more non-contiguous modified regions of pixels in the digital image based on the change records. The disclosed system generate an edited region indicator corresponding to the non-contiguous modified regions. The disclosed systems can further color-code the edited region indicator at an object level based on objects in the modified version of the digital image.
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公开(公告)号:US20230353701A1
公开(公告)日:2023-11-02
申请号:US17660946
申请日:2022-04-27
Applicant: Adobe Inc.
Inventor: Sankalp Shukla , Angad Kumar Gupta , Sourabh Gupta
CPC classification number: H04N5/272 , H04N5/232935 , H04N5/23218 , H04N5/2621
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for removing objects from an image stream at capture time of a digital image. For example, the disclosed system contemporaneously detects and segments objects from a digital image stream being previewed in a camera viewfinder graphical user interface of a client device. The disclosed system removes selected objects from the image stream and fills a hole left by the removed object with a content aware fill. Moreover, the disclosed system displays the image stream with the removed object and content fill as the image stream is previewed by a user prior to capturing a digital image from the image stream.
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公开(公告)号:US20220254078A1
公开(公告)日:2022-08-11
申请号:US17171402
申请日:2021-02-09
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Ashwani Chandil
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize simultaneous, multi-mesh deformation to implement edge aware transformations of digital images. In particular, in one or more embodiments, the disclosed systems generates a transformation handle that targets an edge portrayed in a digital image. In some cases, the disclosed systems provide the transformation handle for display over the digital image. Additionally, in one or more embodiments, the disclosed systems generate vectors splines and meshes for the edge and one or more influenced regions adjacent to the edge. In response to detecting a user interaction with the transformation handle, the disclosed systems can modify the edge and the at least one influenced region by modifying the corresponding vector splines and meshes.
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公开(公告)号:US20200074673A1
公开(公告)日:2020-03-05
申请号:US16115994
申请日:2018-08-29
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Abhishek Shah
Abstract: Object tracking verification techniques are described as implemented by a computing device. In one example, feature points are selected on and along a boundary of an object to be tracked, e.g., in an initial frame of a digital video, which are referred to as “feature points.” Tracking of the feature points is verified by the computing device between frames. If the feature points have been found to deviate from the object, the feature points are reselected. To verify the feature points, a number of tracked features points in a subsequent frame is compared to a number of feature points used to initiate tracking with respect to a threshold. Based on this comparison, if a number of feature points is “lost” in the subsequent frame that is greater than the threshold, the feature points are reselected for tracking the object in subsequent frames of the video.
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公开(公告)号:US11574388B2
公开(公告)日:2023-02-07
申请号:US17136508
申请日:2020-12-29
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Sourabh Gupta
Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.
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公开(公告)号:US20220366623A1
公开(公告)日:2022-11-17
申请号:US17242615
申请日:2021-04-28
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Ashwani Chandil
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for implementing part-level semantic aware transformations when editing digital images. For example, the disclosed systems identify a user selection designating an active region of a subpart (e.g., an object portion) to modify in a shape-constrained manner. Additionally, in certain implementations, the disclosed systems identify another user selection to designate an influenced region comprising adjoining areas connected to the active region. In some embodiments, the disclosed systems generate a boundary vector path outlining the active region and the influenced region. Furthermore, the disclosed systems can determine transformation constraints corresponding to specific path segments of the boundary vector path. Using such transformation constraints, the disclosed systems can generate a modified digital image that maintains shape and other properties for the subpart (and the object) when transforming the active region of the subpart.
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公开(公告)号:US11475544B2
公开(公告)日:2022-10-18
申请号:US17072241
申请日:2020-10-16
Applicant: ADOBE INC.
Inventor: Angad Kumar Gupta , Sourabh Gupta
Abstract: Methods and systems are provided for facilitating automated braces removal from individuals in images. In embodiments described herein, an indication to remove the braces from an individual wearing braces in an image is obtained. Based on receiving the indication to remove the braces, automatically, without user intervention, a teeth region is identified in the image that includes teeth of the individual, and a braces region is identified that includes braces visible in the teeth region. The teeth region and braces region are used to generate an edited image that includes the individual without braces.
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公开(公告)号:US20220207662A1
公开(公告)日:2022-06-30
申请号:US17136508
申请日:2020-12-29
Applicant: Adobe Inc.
Inventor: Angad Kumar Gupta , Sourabh Gupta
Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.
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