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公开(公告)号:US20190057527A1
公开(公告)日:2019-02-21
申请号:US15679602
申请日:2017-08-17
Applicant: Adobe Systems Incorporated
Inventor: Hailin Jin , John Philip Collomosse , Brian L. Price
Abstract: Techniques and systems are described for style-aware patching of a digital image in a digital medium environment. For example, a digital image creation system generates style data for a portion to be filled of a digital image, indicating a style of an area surrounding the portion. The digital image creation system also generates content data for the portion indicating content of the digital image of the area surrounding the portion. The digital image creation system selects a source digital image based on similarity of both style and content of the source digital image at a location of the patch to the style data and content data. The digital image creation system transforms the style of the source digital image based on the style data and generates the patch from the source digital image in the transformed style for incorporation into the portion to be filled of the digital image.
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公开(公告)号:US20180357519A1
公开(公告)日:2018-12-13
申请号:US15616776
申请日:2017-06-07
Applicant: Adobe Systems Incorporated
Inventor: Hailin Jin , John Philip Collomosse
CPC classification number: G06K9/6282 , G06K9/6255 , G06K9/6256 , G06K9/6262 , G06K9/726
Abstract: A combined structure and style network is described. Initially, a large set of training images, having a variety of different styles, is obtained. Each of these training images is associated with one of multiple different predetermined style categories indicating the image's style and one of multiple different predetermined semantic categories indicating objects depicted in the image. Groups of these images are formed, such that each group includes an anchor image having one of the styles, a positive-style example image having the same style as the anchor image, and a negative-style example image having a different style. Based on those groups, an image style network is generated to identify images having desired styling by recognizing visual characteristics of the different styles. The image style network is further combined, according to a unifying training technique, with an image structure network configured to recognize desired objects in images irrespective of image style.
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公开(公告)号:US20180357259A1
公开(公告)日:2018-12-13
申请号:US15619205
申请日:2017-06-09
Applicant: Adobe Systems Incorporated
Inventor: Hailin Jin , John Philip Collomosse
IPC: G06F17/30 , G06K9/22 , G06K9/46 , G06F3/0488
CPC classification number: G06F16/532 , G06K9/00684 , G06K9/4628 , G06K9/6253 , G06K9/6274 , G06N3/0427 , G06N3/0454 , G06N3/08 , G06N5/022
Abstract: Sketch and style based image retrieval in a digital medium environment is described. Initially, a user sketches an object (e.g., with a stylus) to be searched in connection with an image search. Styled images are selected to indicate a desired style of images to be returned by the search. A search request is generated based on the sketch and selected images. Responsive to the request, an image repository is searched to identify images having the desired object and styling. To search the image repository, a neural network is utilized that is capable of recognizing the desired object in images based on visual characteristics of the sketch and independently recognizing the desired styling in images based on visual characteristics of the selected images. This independent recognition allows desired styling to be specified by selecting images having the style but not the desired object. Images having the desired object and styling are returned.
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