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公开(公告)号：US09105135B2
公开(公告)日：2015-08-11
申请号：US13713293
申请日：2012-12-13
Applicant: Adobe Systems Incorporated
Inventor： Fan Bao , Radomir Mech , Gavin Stuart Peter Miller
IPC: G09G5/02 , G09G5/24 , G09G5/37 , G06T11/60 , G06F3/0481 , G06F3/0484
CPC classification number: G06T11/60 , G06F3/0481 , G06F3/0484 , G06T2201/00 , G09G5/24 , G09G5/37
Abstract: Selection of an area of an image can be received. Selection of a subset of a plurality of predefined patterns may be received. A plurality of patterns can be generated. At least one generated pattern in the plurality of patterns may be based at least in part on one or more predefined patterns in the subset. Selection of another subset of patterns may be received. At least one pattern in the other subset of patterns may be selected from the plurality of predefined patterns and/or the generated patterns. Another plurality of patterns can be generated. At least one generated pattern in this plurality of patterns may be based at least on part on one or more patterns in the other subset. Selection of a generated pattern from the generated other plurality of patterns may be received. The selected area of the image may be populated with the selected generated pattern.
Abstract translation: 可以接收图像的区域的选择。 可以接收多个预定模式的子集的选择。 可以生成多个图案。 多个图案中的至少一个生成的图案可以至少部分地基于该子集中的一个或多个预定模式。 可以接收另一模式子集的选择。 可以从多个预定义模式和/或生成的模式中选择模式的另一子集中的至少一个模式。 可以生成另外多个图案。 该多个图案中的至少一个生成的图案可以至少部分地基于另一子集中的一个或多个图案。 可以接收从所生成的其他多个图案中选择生成的图案。 图像的所选区域可以用所选择的生成图案填充。
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52.发明申请公开(公告)号：US20150197060A1
公开(公告)日：2015-07-16
申请号：US14155202
申请日：2014-01-14
Applicant: Adobe Systems Incorporated
Inventor： Nathan A. Carr , Tim Christopher Reiner , Gavin Stuart Peter Miller , Radomir Mech
IPC: B29C67/00
CPC classification number: B29C67/0055 , B29C64/106 , B29C64/112 , B29C64/20 , B29C64/386 , B29C67/0059 , B29C67/0085 , B29C67/0088 , B29K2105/0058 , B33Y10/00 , B33Y30/00 , B33Y50/02
Abstract: This document describes techniques and apparatuses for 3D printing with small geometric offsets to affect surface characteristics. These techniques are capable of enabling fused-deposition printers to create 3D objects having desired surface characteristics, such as particular colors, images and image resolutions, textures, and luminosities. In some cases, the techniques do so using a single filament head with a single filament material. In some other cases, the techniques do so using multiple heads each with different filaments, though the techniques can forgo many switches between these heads. Each printing layer may use even a single filament from one head, thereby enabling surface characteristics while reducing starts and stops for filaments heads, which enables fewer artifacts or increases printing speed.
Abstract translation: 本文档描述了具有小几何偏移的3D打印以影响表面特性的技术和装置。 这些技术能够使熔融沉积打印机能够创建具有期望的表面特性（例如特定颜色，图像和图像分辨率，纹理和光度）的3D物体。 在某些情况下，这些技术使用具有单丝材料的单丝头。 在其他一些情况下，这些技术使用多个具有不同长丝的头，但这些技术可以在这些头之间放弃许多开关。 每个印刷层可以使用来自一个头部的单个细丝，从而使得能够减少表面特性，同时减少长丝头的开始和停止，这使得更少的伪像或增加打印速度。
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公开(公告)号：US20140168254A1
公开(公告)日：2014-06-19
申请号：US13713293
申请日：2012-12-13
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Fan Bao , Radomir Mech , Gavin Stuart Peter Miller
IPC: G06T11/60
CPC classification number: G06T11/60 , G06F3/0481 , G06F3/0484 , G06T2201/00 , G09G5/24 , G09G5/37
Abstract: Selection of an area of an image can be received. Selection of a subset of a plurality of predefined patterns may be received. A plurality of patterns can be generated. At least one generated pattern in the plurality of patterns may be based at least in part on one or more predefined patterns in the subset. Selection of another subset of patterns may be received. At least one pattern in the other subset of patterns may be selected from the plurality of predefined patterns and/or the generated patterns. Another plurality of patterns can be generated. At least one generated pattern in this plurality of patterns may be based at least on part on one or more patterns in the other subset. Selection of a generated pattern from the generated other plurality of patterns may be received. The selected area of the image may be populated with the selected generated pattern.
Abstract translation: 可以接收图像的区域的选择。 可以接收多个预定模式的子集的选择。 可以生成多个图案。 多个图案中的至少一个生成的图案可以至少部分地基于该子集中的一个或多个预定模式。 可以接收另一模式子集的选择。 可以从多个预定义模式和/或生成的模式中选择模式的另一子集中的至少一个模式。 可以生成另外多个图案。 该多个图案中的至少一个生成的图案可以至少部分地基于另一子集中的一个或多个图案。 可以接收从所生成的其他多个图案中选择生成的图案。 图像的所选区域可以用所选择的生成图案填充。
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公开(公告)号：US20190109981A1
公开(公告)日：2019-04-11
申请号：US15730614
申请日：2017-10-11
Applicant: Adobe Systems Incorporated
Inventor： Jianming Zhang , Zijun Wei , Zhe Lin , Xiaohui Shen , Radomir Mech
IPC: H04N5/232
CPC classification number: H04N5/232935 , G06N3/08 , H04N5/23222 , H04N5/23229 , H04N5/23293
Abstract: Various embodiments describe facilitating real-time crops on an image. In an example, an image processing application executed on a device receives image data corresponding to a field of view of a camera of the device. The image processing application renders a major view on a display of the device in a preview mode. The major view presents a previewed image based on the image data. The image processing application receives a composition score of a cropped image from a deep-learning system. The image processing application renders a sub-view presenting the cropped image based on the composition score in a preview mode. Based on a user interaction, the image processing application renders the cropped image in the major view with the sub-view in the preview mode.
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公开(公告)号：US20180268533A1
公开(公告)日：2018-09-20
申请号：US15458826
申请日：2017-03-14
Applicant: Adobe Systems Incorporated
Inventor： Radomir Mech , Ning Yu , Xiaohui Shen , Zhe Lin
CPC classification number: G06T7/0002 , G06N3/0454 , G06N3/08 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168
Abstract: Digital image defect identification and correction techniques are described. In one example, a digital medium environment is configured to identify and correct a digital image defect through identification of a defect in a digital image using machine learning. The identification includes generating a plurality of defect type scores using a plurality of defect type identification models, as part of machine learning, for a plurality of different defect types and determining the digital image includes the defect based on the generated plurality of defect type scores. A correction is generated for the identified defect and the digital image is output as included the generated correction.
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Patent Agency Ranking
公开(公告)号：US09996768B2
公开(公告)日：2018-06-12
申请号：US14548170
申请日：2014-11-19
Applicant: Adobe Systems Incorporated
Inventor： Xiaohui Shen , Xin Lu , Zhe Lin , Radomir Mech
CPC classification number: G06K9/4676 , G06K9/4628
Abstract: Neural network patch aggregation and statistical techniques are described. In one or more implementations, patches are generated from an image, e.g., randomly, and used to train a neural network. An aggregation of outputs of patches processed by the neural network may be used to label an image using an image descriptor, such as to label aesthetics of the image, classify the image, and so on. In another example, the patches may be used by the neural network to calculate statistics describing the patches, such as to describe statistics such as minimum, maximum, median, and average of activations of image characteristics of the individual patches. These statistics may also be used to support a variety of functionality, such as to label the image as described above.
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公开(公告)号：US09940544B2
公开(公告)日：2018-04-10
申请号：US15177197
申请日：2016-06-08
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Yufei Wang , Radomir Mech , Xiaohui Shen , Gavin Stuart Peter Miller
CPC classification number: G06K9/6218 , G06F17/30247 , G06F17/30265 , G06F17/3028 , G06K9/00228 , G06K9/00677 , G06K9/00718 , G06K9/00751 , G06K9/4628 , G06K9/6215 , G06K9/6254 , G06K9/6255 , G06K9/628 , G06N3/0454 , G06N3/084
Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.
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公开(公告)号：US09908291B2
公开(公告)日：2018-03-06
申请号：US14041045
申请日：2013-09-30
Applicant: Adobe Systems Incorporated
Inventor： Radomir Mech
CPC classification number: B29C64/141 , B29C47/0011 , B29C47/92 , B29C64/106 , B29C64/386 , B33Y10/00 , B33Y50/02
Abstract: This document describes techniques and apparatuses for smooth 3D printing using multi-stage filaments. These techniques are capable of creating smoother surfaces than many current techniques. In some cases, the techniques determine a portion of a surface of a 3D object that includes, or will include, a printing artifact or is otherwise not smooth, and then applies multi-stage filaments to provide a smoothing surface over that portion.
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公开(公告)号：US09805445B2
公开(公告)日：2017-10-31
申请号：US14524489
申请日：2014-10-27
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Radomir Mech , Xiaohui Shen , Brian L. Price , Jianming Zhang
IPC: G06T3/40
CPC classification number: G06T3/40
Abstract: Image zooming is described. In one or more implementations, zoomed croppings of an image are scored. The scores calculated for the zoomed croppings are indicative of a zoomed cropping's inclusion of content that is captured in the image. For example, the scores are indicative of a degree to which a zoomed cropping includes salient content of the image, a degree to which the salient content included in the zoomed cropping is centered in the image, and a degree to which the zoomed cropping preserves specified regions-to-keep and excludes specified regions-to-remove. Based on the scores, at least one zoomed cropping may be chosen to effectuate a zooming of the image. Accordingly, the image may be zoomed according to the zoomed cropping such that an amount the image is zoomed corresponds to a scale of the zoomed cropping.
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公开(公告)号：US20170221257A1
公开(公告)日：2017-08-03
申请号：US15014386
申请日：2016-02-03
Applicant: Adobe Systems Incorporated
Inventor： Radomir Mech , Mehmet Ersin Yumer , Haibin Huang
CPC classification number: G06T19/20 , G06T11/001 , G06T17/00 , G06T2219/2021
Abstract: Methods and systems are directed to improving the convenience of drawing applications. Some examples include generating 3D drawing objects using a drawing application and selecting one based on a 2D design (in some cases a hand-drawn sketch) provided by a user. The user provided 2D design is separated into an outline perimeter and interior design, and corresponding vectors are then generated. These vectors are then used with analogous vectors generated for drawing objects. The selection of a drawing object to correspond to the 2D design is based on finding a drawing object having a minimum difference between its vectors and the vectors of the 2D design. The selected drawing object is then used to generate a drawing object configured to receive edits from the user. This reduces the inconvenience required to manually reproduce the 2D design in the drawing application.
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