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公开(公告)号：US20240078719A1
公开(公告)日：2024-03-07
申请号：US17823574
申请日：2022-08-31
Applicant: ADOBE INC.
Inventor： Michal Lukac , Souymodip Chakraborty , Matthew David Fisher , Vineet Batra , Ankit Phogat
IPC: G06T11/00
CPC classification number: G06T11/001
Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure receive a raster image depicting a radial color gradient; compute an origin point of the radial color gradient based on an orthogonality measure between a color gradient vector at a point in the raster image and a relative position vector between the point and the origin point; construct a vector graphics representation of the radial color gradient based on the origin point; and generate a vector graphics image depicting the radial color gradient based on the vector graphics representation.
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公开(公告)号：US10783691B2
公开(公告)日：2020-09-22
申请号：US16681218
申请日：2019-11-12
Applicant: Adobe Inc. , CZECH TECHNICAL UNIVERSITY IN PRAGUE
Inventor： David Simons , Michal Lukac , Daniel Sykora , Elya Shechtman , Paul Asente , Jingwan Lu , Jakub Fiser , Ondrej Jamriska
IPC: G06T11/00 , G06T13/40 , G06K9/00 , G06T15/04 , G06T7/194 , G06T7/11 , G06T7/73 , G06T7/90 , G06T3/00 , G06T5/00 , G06T5/50 , G06T13/80 , G06T7/60 , G06T15/02
Abstract: Certain embodiments involve generating one or more of appearance guide and a positional guide and using one or more of the guides to synthesize a stylized image or animation. For example, a system obtains data indicating a target image and a style exemplar image. The system generates an appearance guide, a positional guide, or both from the target image and the style exemplar image. The system uses one or more of the guides to transfer a texture or style from the style exemplar image to the target image.
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公开(公告)号：US20210319256A1
公开(公告)日：2021-10-14
申请号：US17332773
申请日：2021-05-27
Applicant: Adobe Inc.
Inventor： Xin Sun , Sohrab Amirghodsi , Nathan Carr , Michal Lukac
Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a modified digital image by identifying patch matches within a digital image utilizing a Gaussian mixture model. For example, the systems described herein can identify sample patches and corresponding matching portions within a digital image. The systems can also identify transformations between the sample patches and the corresponding matching portions. Based on the transformations, the systems can generate a Gaussian mixture model, and the systems can modify a digital image by replacing a target region with target matching portions identified in accordance with the Gaussian mixture model.
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公开(公告)号：US20200342634A1
公开(公告)日：2020-10-29
申请号：US16392968
申请日：2019-04-24
Applicant: Adobe Inc.
Inventor： Connelly Barnes , Sohrab Amirghodsi , Michal Lukac , Elya Shechtman , Ning Yu
Abstract: Techniques are disclosed for neural network based interpolation of image textures. A methodology implementing the techniques according to an embodiment includes training a global encoder network to generate global latent vectors based on training texture images, and training a local encoder network to generate local latent tensors based on the training texture images. The method further includes interpolating between the global latent vectors associated with each set of training images, and interpolating between the local latent tensors associated with each set of training images. The method further includes training a decoder network to generate reconstructions of the training texture images and to generate an interpolated texture based on the interpolated global latent vectors and the interpolated local latent tensors. The training of the encoder and decoder networks is based on a minimization of a loss function of the reconstructions and a minimization of a loss function of the interpolated texture.
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公开(公告)号：US20200082591A1
公开(公告)日：2020-03-12
申请号：US16681218
申请日：2019-11-12
Applicant: Adobe Inc.
Inventor： David Simons , Michal Lukac , Daniel Sykora , Elya Shechtman , Paul Asente , Jingwan Lu , Jakub Fiser , Ondrej Jamriska
IPC: G06T13/40 , G06T13/80 , G06T11/00 , G06T5/50 , G06T5/00 , G06T3/00 , G06T7/90 , G06T7/73 , G06T7/11 , G06T7/194 , G06K9/00 , G06T15/04
Abstract: Certain embodiments involve generating one or more of appearance guide and a positional guide and using one or more of the guides to synthesize a stylized image or animation. For example, a system obtains data indicating a target image and a style exemplar image. The system generates an appearance guide, a positional guide, or both from the target image and the style exemplar image. The system uses one or more of the guides to transfer a texture or style from the style exemplar image to the target image.
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Patent Agency Ranking
公开(公告)号：US11823313B2
公开(公告)日：2023-11-21
申请号：US17332773
申请日：2021-05-27
Applicant: Adobe Inc.
Inventor： Xin Sun , Sohrab Amirghodsi , Nathan Carr , Michal Lukac
CPC classification number: G06T11/60 , G06V10/758
Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a modified digital image by identifying patch matches within a digital image utilizing a Gaussian mixture model. For example, the systems described herein can identify sample patches and corresponding matching portions within a digital image. The systems can also identify transformations between the sample patches and the corresponding matching portions. Based on the transformations, the systems can generate a Gaussian mixture model, and the systems can modify a digital image by replacing a target region with target matching portions identified in accordance with the Gaussian mixture model.
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公开(公告)号：US11081139B2
公开(公告)日：2021-08-03
申请号：US16378906
申请日：2019-04-09
Applicant: Adobe Inc.
Inventor： Geoffrey Oxholm , Oliver Wang , Elya Shechtman , Michal Lukac , Ramiz Sheikh
Abstract: Certain aspects involve video inpainting via confidence-weighted motion estimation. For instance, a video editor accesses video content having a target region to be modified in one or more video frames. The video editor computes a motion for a boundary of the target region. The video editor interpolates, from the boundary motion, a target motion of a target pixel within the target region. In the interpolation, confidence values assigned to boundary pixels control how the motion of these pixels contributes to the interpolated target motion. A confidence value is computed based on a difference between forward and reverse motion with respect to a particular boundary pixel, a texture in a region that includes the particular boundary pixel, or a combination thereof. The video editor modifies the target region in the video by updating color data of the target pixel to correspond to the target motion interpolated from the boundary motion.
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公开(公告)号：US10546212B2
公开(公告)日：2020-01-28
申请号：US16148166
申请日：2018-10-01
Applicant: Adobe Inc.
Inventor： Nathan Carr , Kalyan Sunkavalli , Michal Lukac , Elya Shechtman
IPC: G06K9/62
Abstract: The present disclosure is directed toward systems and methods for image patch matching. In particular, the systems and methods described herein sample image patches to identify those image patches that match a target image patch. The systems and methods described herein probabilistically accept image patch proposals as potential matches based on an oracle. The oracle is computationally inexpensive to evaluate but more approximate than similarity heuristics. The systems and methods use the oracle to quickly guide the search to areas of the search space more likely to have a match. Once areas are identified that likely include a match, the systems and methods use a more accurate similarity function to identify patch matches.
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公开(公告)号：US11233920B1
公开(公告)日：2022-01-25
申请号：US16952137
申请日：2020-11-19
Applicant: Adobe Inc.
Inventor： Xiaoyi Wang , Shayan Chandrashekar , Sangeeta Varma , Paul Asente , Michal Lukac , Chang Liu
Abstract: Methods and systems disclosed herein relate generally to systems and methods for transforming document elements in response to modifications to a layout of a document. A layout-modification application identifies, from a first document having a first document layout, a first set of measurements of a document element and a first location of the document element within the first document. Based on an aspect-ratio difference between the first document layout and a second document layout, the layout-modification application selects a set of transformation rules that specify, for the document element, a second set of measurements and a second location within a second document. To select the particular set of transformation rules, the layout-modification application uses the determined aspect-ratio difference. The layout-modification application applies the selected set of transformation rules to the document element.
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公开(公告)号：US10740881B2
公开(公告)日：2020-08-11
申请号：US15935994
申请日：2018-03-26
Applicant: Adobe Inc.
Inventor： Oliver Wang , Michal Lukac , Elya Shechtman , Mahyar Najibikohnehshahri
Abstract: Techniques for using deep learning to facilitate patch-based image inpainting are described. In an example, a computer system hosts a neural network trained to generate, from an image, code vectors including features learned by the neural network and descriptive of patches. The image is received and contains a region of interest (e.g., a hole missing content). The computer system inputs it to the network and, in response, receives the code vectors. Each code vector is associated with a pixel in the image. Rather than comparing RGB values between patches, the computer system compares the code vector of a pixel inside the region to code vectors of pixels outside the region to find the best match based on a feature similarity measure (e.g., a cosine similarity). The pixel value of the pixel inside the region is set based on the pixel value of the matched pixel outside this region.
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