-
11.发明公开公开(公告)号：US20230316475A1
公开(公告)日：2023-10-05
申请号：US17709221
申请日：2022-03-30
Applicant: Adobe Inc.
Inventor： Cameron Smith , Wei-An Lin , Timothy M. Converse , Shabnam Ghadar , Ratheesh Kalarot , John Nack , Jingwan Lu , Hui Qu , Elya Shechtman , Baldo Faieta
CPC classification number: G06T5/50 , G06N3/0454 , G06T2207/20221 , G06T2207/20084 , G06T2207/20081
Abstract: An item recommendation system receives a set of recommendable items and a request to select, from the set of recommendable items, a contrast group. The item recommendation system selects a contrast group from the set of recommendable items by applying a image modification model to the set of recommendable items. The image modification model includes an item selection model configured to determine an unbiased conversion rate for each item of the set of recommendable items and select a recommended item from the set of recommendable items having a greatest unbiased conversion rate. The image modification model includes a contrast group selection model configured to select, for the recommended item, a contrast group comprising the recommended item and one or more contrast items. The item recommendation system transmits the contrast group responsive to the request.
-
公开(公告)号：US11763495B2
公开(公告)日：2023-09-19
申请号：US17163284
申请日：2021-01-29
Applicant: Adobe Inc.
Inventor： Utkarsh Ojha , Yijun Li , Richard Zhang , Jingwan Lu , Elya Shechtman , Alexei A. Efros
IPC: G06T11/00 , G06N3/02 , G06F18/22 , G06F18/214
CPC classification number: G06T11/00 , G06F18/214 , G06F18/22 , G06N3/02
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and efficiently modifying a generative adversarial neural network using few-shot adaptation to generate digital images corresponding to a target domain while maintaining diversity of a source domain and realism of the target domain. In particular, the disclosed systems utilize a generative adversarial neural network with parameters learned from a large source domain. The disclosed systems preserve relative similarities and differences between digital images in the source domain using a cross-domain distance consistency loss. In addition, the disclosed systems utilize an anchor-based strategy to encourage different levels or measures of realism over digital images generated from latent vectors in different regions of a latent space.
-
公开(公告)号：US20230289970A1
公开(公告)日：2023-09-14
申请号：US17693618
申请日：2022-03-14
Applicant: Adobe Inc.
Inventor： Gaurav Parmar , Krishna Kumar Singh , Yijun Li , Richard Zhang , Jingwan Lu
CPC classification number: G06T7/11 , G06T11/001 , G06T3/4046 , G06T2207/20084 , G06T2207/20081
Abstract: In implementations of systems for image inversion using multiple latent spaces, a computing device implements an inversion system to generate a segment map that segments an input digital image into a first image region and a second image region and assigns the first image region to a first latent space and the second image region to a second latent space that corresponds to a layer of a convolutional neural network. An inverted latent representation of the input digital image is computed using a binary mask for the second image region. The inversion system modifies the inverted latent representation of the input digital image using an edit direction vector that corresponds to a visual feature. An output digital image is generated that depicts a reconstruction of the input digital image having the visual feature based on the modified inverted latent representation of the input digital image.
-
公开(公告)号：US11727614B2
公开(公告)日：2023-08-15
申请号：US17182492
申请日：2021-02-23
Applicant: Adobe Inc.
Inventor： Akhilesh Kumar , Baldo Faieta , Piotr Walczyszyn , Ratheesh Kalarot , Archie Bagnall , Shabnam Ghadar , Wei-An Lin , Cameron Smith , Christian Cantrell , Patrick Hebron , Wilson Chan , Jingwan Lu , Holger Winnemoeller , Sven Olsen
CPC classification number: G06T11/60 , G06N3/04 , G06T11/203
Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.
-
公开(公告)号：US11544880B2
公开(公告)日：2023-01-03
申请号：US16874399
申请日：2020-05-14
Applicant: Adobe Inc.
Inventor： Taesung Park , Richard Zhang , Oliver Wang , Junyan Zhu , Jingwan Lu , Elya Shechtman , Alexei A Efros
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a modified digital image from extracted spatial and global codes. For example, the disclosed systems can utilize a global and spatial autoencoder to extract spatial codes and global codes from digital images. The disclosed systems can further utilize the global and spatial autoencoder to generate a modified digital image by combining extracted spatial and global codes in various ways for various applications such as style swapping, style blending, and attribute editing.
-
Patent Agency Ranking
公开(公告)号：US20220122232A1
公开(公告)日：2022-04-21
申请号：US17468476
申请日：2021-09-07
Applicant: Adobe Inc.
Inventor： Wei-An Lin , Baldo Faieta , Cameron Smith , Elya Shechtman , Jingwan Lu , Jun-Yan Zhu , Niloy Mitra , Ratheesh Kalarot , Richard Zhang , Shabnam Ghadar , Zhixin Shu
Abstract: Systems and methods generate a filtering function for editing an image with reduced attribute correlation. An image editing system groups training data into bins according to a distribution of a target attribute. For each bin, the system samples a subset of the training data based on a pre-determined target distribution of a set of additional attributes in the training data. The system identifies a direction in the sampled training data corresponding to the distribution of the target attribute to generate a filtering vector for modifying the target attribute in an input image, obtains a latent space representation of an input image, applies the filtering vector to the latent space representation of the input image to generate a filtered latent space representation of the input image, and provides the filtered latent space representation as input to a neural network to generate an output image with a modification to the target attribute.
-
公开(公告)号：US11138776B2
公开(公告)日：2021-10-05
申请号：US16416123
申请日：2019-05-17
Applicant: ADOBE INC.
Inventor： Radomir Mech , Jose Ignacio Echevarria Vallespi , Jingwan Lu , Jianming Zhang , Jane Little E
Abstract: Various methods and systems are provided for image-management operations that includes generating adaptive image armatures based on an alignment between composition lines of a reference armature and a position of an object in an image. In operation, a reference armature for an image is accessed. The reference armature includes a plurality of composition lines that define a frame of reference for image composition. An alignment map is determined using the reference armature. The alignment map includes alignment information that indicates alignment between the composition lines of the reference armature and the position of the object in the image. Based on the alignment map, an adaptive image armature is determined. The adaptive image armature includes a subset of the composition lines of the reference armature. The adaptive image armature is displayed.
-
公开(公告)号：US20210233287A1
公开(公告)日：2021-07-29
申请号：US16751959
申请日：2020-01-24
Applicant: Adobe Inc.
Inventor： Nishant Kumar , Vikas Sharma , Shantanu Agarwal , Sameer Bhatt , Rupali Arora , Richard Zhang , Anuradha Yadav , Jingwan Lu , Matthew David Fisher
Abstract: In implementations of adding color to digital images, an image colorization system can display a digital image to be color adjusted in an image editing interface and convert pixel content of the digital image to a LAB color space. The image colorization system can determine a lightness value (L) in the LAB color space of the pixel content of the digital image at a specified point on the digital image, and determine colors representable in an RGB color space based on combinations of A,B value pairs with the lightness value (L) in the LAB color space. The image colorization system can then determine a range of the colors for display in a color gamut in the image editing interface, the range of the colors corresponding to the A,B value pairs with the lightness value (L) of the pixel content at the specified point on the digital image.
-
公开(公告)号：US11024060B1
公开(公告)日：2021-06-01
申请号：US16812669
申请日：2020-03-09
Applicant: Adobe Inc.
Inventor： Liqian Ma , Jingwan Lu , Zhe Lin , Connelly Barnes , Alexei A. Efros
Abstract: Techniques are provided for converting a self-portrait image into a neutral-pose portrait image, including receiving a self-portrait input image, which contains at least one person who is the subject of the self-portrait. A nearest pose search selects a target neutral-pose image that closely matches or approximates the pose of the upper torso region of the subject in the self-portrait input image. Coordinate-based inpainting maps pixels from the upper torso region in the self-portrait input image to corresponding regions in the selected target neutral-pose image to produce a coarse result image. A neutral-pose composition refines the coarse result image by synthesizing details in the body region of the subject (which in some cases includes the subject's head, arms, and torso), and inpainting pixels into missing portions of the background. The refined image is composited with the original self-portrait input image to produce a neutral-pose result image.
-
公开(公告)号：US10574881B2
公开(公告)日：2020-02-25
申请号：US15897951
申请日：2018-02-15
Applicant: Adobe Inc.
Inventor： Alannah Oleson , Radomir Mech , Jose Echevarria , Jingwan Lu
Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.
-
-
-
-
-
-
-
-
-
Search Results
145
records
(took 0.024 seconds)
