-
公开(公告)号：US11244460B2
公开(公告)日：2022-02-08
申请号：US16822853
申请日：2020-03-18
申请人： Adobe Inc.
摘要： In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.
-
公开(公告)号：US10796421B2
公开(公告)日：2020-10-06
申请号：US15895695
申请日：2018-02-13
申请人： ADOBE INC.
摘要： Embodiments of the present invention are directed to facilitating images with selective application of the long-exposure effect. In accordance with some embodiments of the present invention, virtual long-exposure image comprising a plurality of aligned frames is provided and a selection of a region of pixels in the virtual long-exposure image is received. The virtual long-exposure image is combined with one of the frames forming the virtual long-exposure image to create a selective virtual long-exposure image. The selective virtual long-exposure image comprises a visible portion of the original virtual long-exposure image and a visible portion of the individual frame that corresponds to the selected region of pixels. Additional frames may be combined with the virtual long-exposure image to create a plurality of selective virtual long-exposure image options, and the user may select one for continued use or for saving.
-
公开(公告)号：US20220092790A1
公开(公告)日：2022-03-24
申请号：US17544048
申请日：2021-12-07
申请人： Adobe Inc.
IPC分类号： G06T7/13
摘要： In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.
-
公开(公告)号：US20210295525A1
公开(公告)日：2021-09-23
申请号：US16822853
申请日：2020-03-18
申请人： Adobe Inc.
IPC分类号： G06T7/13
摘要： In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.
-
公开(公告)号：US11756208B2
公开(公告)日：2023-09-12
申请号：US17544048
申请日：2021-12-07
申请人： Adobe Inc.
CPC分类号： G06T7/13 , G06T2207/20081 , G06T2207/20084
摘要： In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.
-
公开(公告)号：US11295494B2
公开(公告)日：2022-04-05
申请号：US16453398
申请日：2019-06-26
申请人： Adobe Inc.
摘要： Image modification styles learned from a limited set of modified images are described. A learned style system receives a selection of one or more modified images serving as a basis for a modification style. For each modified image, this system creates a modification memory, which includes a representation of the image content and modification parameters describing modification of this content to produce the modified image. These modification memories are packaged into style data, used to apply the modification style to input images. When applying a style, the system generates an image representation of an input image and determines measures of similarity between the input image's representation and representations of each modification memory in the style data. The system determines parameters for applying the modification style based, in part, on these similarity measures. The system modifies the input image according to the determined parameters to produce a styled image.
-
-
-
-
-
搜索结果
6 条记录 (耗时 0.013 秒)
