公开(公告)号：US11983628B2

公开(公告)日：2024-05-14

申请号：US17468487

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

IPC: G06N3/08 ,  G06F3/04845 ,  G06F3/04847 ,  G06F18/21 ,  G06F18/211 ,  G06F18/214 ,  G06F18/40 ,  G06N3/045 ,  G06N20/20 ,  G06T3/02 ,  G06T3/18 ,  G06T3/40 ,  G06T3/4038 ,  G06T3/4046 ,  G06T5/20 ,  G06T5/77 ,  G06T11/00 ,  G06T11/60

CPC classification number: G06N3/08 ,  G06F3/04845 ,  G06F3/04847 ,  G06F18/211 ,  G06F18/214 ,  G06F18/2163 ,  G06F18/40 ,  G06N3/045 ,  G06N20/20 ,  G06T3/02 ,  G06T3/18 ,  G06T3/40 ,  G06T3/4038 ,  G06T3/4046 ,  G06T5/20 ,  G06T5/77 ,  G06T11/001 ,  G06T11/60 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20221 ,  G06T2210/22

Abstract: Systems and methods dynamically adjust an available range for editing an attribute in an image. An image editing system computes a metric for an attribute in an input image as a function of a latent space representation of the input image and a filtering vector for editing the input image. The image editing system compares the metric to a threshold. If the metric exceeds the threshold, then the image editing system selects a first range for editing the attribute in the input image. If the metric does not exceed the threshold, a second range is selected. The image editing system causes display of a user interface for editing the input image comprising an interface element for editing the attribute within the selected range.

公开(公告)号：US11645328B2

公开(公告)日：2023-05-09

申请号：US16821301

申请日：2020-03-17

Applicant: ADOBE INC.

Inventor： Long Mai ,  Michael Alcorn ,  Baldo Faieta ,  Vladimir Kim

IPC: G06F16/00 ,  G06F16/56 ,  G06F16/53 ,  G06N20/10 ,  G06N3/084 ,  G06F18/22 ,  G06F18/2113 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/30

CPC classification number: G06F16/56 ,  G06F16/53 ,  G06F18/2113 ,  G06F18/22 ,  G06N3/084 ,  G06N20/10 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/30

Abstract: Systems and methods for performing image search are described. An image search method may include generating a feature vector for each of a plurality of stored images using a machine learning model trained using a rotation loss term, receiving a search query comprising a search image with object having an orientation, generating a query feature vector for the search image using the machine learning model, wherein the query feature vector is based at least in part on the orientation, comparing the query feature vector to the feature vector for each of the plurality of stored images, and selecting at least one stored image of the plurality of stored images based on the comparison, wherein the at least one stored image comprises a similar orientation to the orientation of the object in the search image.

公开(公告)号：US20230070390A1

公开(公告)日：2023-03-09

申请号：US17466679

申请日：2021-09-03

Applicant: ADOBE INC.

Inventor： Zhaowen Weng ,  Saeid Motiian ,  Baldo Faieta ,  Zegi Gu ,  Peter Evan O'Donovan ,  Alex Filipkowski ,  Jose Ignacio Echevarria Vallespi

IPC: G06F40/109 ,  G06N3/04 ,  G06F40/166

Abstract: Embodiments of the technology described herein, are an intelligent system that aims to expedite a text design process by providing text design predictions interactively. The system works with a typical text design scenario comprising a background image and one or more text strings as input. In the design scenario, the text string is to be placed on top of the background. The textual design agent may include a location recommendation model that recommends a location on the background image to place the text. The textual design agent may also include a font recommendation model, a size recommendation model, and a color recommendation model. The output of these four models may be combined to generate draft designs that are evaluated as a whole (combination of color, font, and size) for the best designs. The top designs may be output to the user.

公开(公告)号：US11531697B2

公开(公告)日：2022-12-20

申请号：US17087982

申请日：2020-11-03

Applicant: Adobe Inc.

Inventor： Jinrong Xie ,  Shabnam Ghadar ,  Jun Saito ,  Jimei Yang ,  Elnaz Morad ,  Duygu Ceylan Aksit ,  Baldo Faieta ,  Alex Filipkowski

IPC: G06F16/55 ,  G06F16/538 ,  G06F16/583 ,  G06F16/56 ,  G06F16/535 ,  G06N3/08 ,  G06T7/73

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly identifying and providing digital images of human figures in poses corresponding to a query pose. In particular, the disclosed systems can provide multiple approaches to searching for and providing pose images, including identifying a digital image depicting a human figure in a particular pose based on a query digital image that depicts the pose or identifying a digital image depicting a human figure in a particular pose based on a virtual mannequin. Indeed, the disclosed systems can provide a manipulable virtual mannequin that defines a query pose for searching a repository of digital images. Additionally, the disclosed systems can generate and provide digital pose image groups by clustering digital images together according to poses of human figures within a pose feature space.

公开(公告)号：US20220270310A1

公开(公告)日：2022-08-25

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

IPC: G06T11/60 ,  G06N3/04 ,  G06T11/20

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：US11380033B2

公开(公告)日：2022-07-05

申请号：US16738359

申请日：2020-01-09

Applicant: Adobe Inc.

Inventor： Kate Sousa ,  Zhe Lin ,  Saeid Motiian ,  Pramod Srinivasan ,  Baldo Faieta ,  Alex Filipkowski

IPC: G06T11/60 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08 ,  G06V10/25

Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.

公开(公告)号：US11367273B2

公开(公告)日：2022-06-21

申请号：US16919383

申请日：2020-07-02

Applicant: Adobe Inc.

Inventor： Delun Du ,  Zhe Lin ,  Baldo Faieta

IPC: G06N3/08 ,  G06K9/62 ,  G06K9/20 ,  G06N3/04 ,  G06V10/50 ,  G06V10/22

Abstract: The present disclosure is directed toward systems and methods for detecting an object in an input image based on a target object keyword. For example, one or more embodiments described herein generate a heat map of the input image based on the target object keyword and generate various bounding boxes based on a pixel analysis of the heat map. One or more embodiments described herein then utilize the various bounding boxes to determine scores for generated object location proposals in order to provide a highest scoring object location proposal overlaid on the input image.

公开(公告)号：US20220138249A1

公开(公告)日：2022-05-05

申请号：US17087982

申请日：2020-11-03

Applicant: Adobe Inc.

Inventor： Jinrong Xie ,  Shabnam Ghadar ,  Jun Saito ,  Jimei Yang ,  Elnaz Morad ,  Duygu Ceylan Aksit ,  Baldo Faieta ,  Alex Filipkowski

IPC: G06F16/55 ,  G06F16/538 ,  G06N3/08 ,  G06F16/535 ,  G06T7/73 ,  G06F16/56 ,  G06F16/583

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly identifying and providing digital images of human figures in poses corresponding to a query pose. In particular, the disclosed systems can provide multiple approaches to searching for and providing pose images, including identifying a digital image depicting a human figure in a particular pose based on a query digital image that depicts the pose or identifying a digital image depicting a human figure in a particular pose based on a virtual mannequin. Indeed, the disclosed systems can provide a manipulable virtual mannequin that defines a query pose for searching a repository of digital images. Additionally, the disclosed systems can generate and provide digital pose image groups by clustering digital images together according to poses of human figures within a pose feature space.

公开(公告)号：US12223439B2

公开(公告)日：2025-02-11

申请号：US17190668

申请日：2021-03-03

Applicant: ADOBE INC.

Inventor： Xin Yuan ,  Zhe Lin ,  Jason Wen Yong Kuen ,  Jianming Zhang ,  Yilin Wang ,  Ajinkya Kale ,  Baldo Faieta

IPC: G06N5/04 ,  G06N3/08 ,  G06N20/00

Abstract: Systems and methods for multi-modal representation learning are described. One or more embodiments provide a visual representation learning system trained using machine learning techniques. For example, some embodiments of the visual representation learning system are trained using cross-modal training tasks including a combination of intra-modal and inter-modal similarity preservation objectives. In some examples, the training tasks are based on contrastive learning techniques.

公开(公告)号：US11915520B2

公开(公告)日：2024-02-27

申请号：US17902349

申请日：2022-09-02

Applicant: Adobe Inc.

Inventor： Saeid Motiian ,  Zhe Lin ,  Shabnam Ghadar ,  Baldo Faieta

IPC: G06V40/16 ,  G06V30/194 ,  G06V40/10 ,  G06F18/00 ,  G06F18/20

CPC classification number: G06V40/172 ,  G06F18/00 ,  G06F18/29 ,  G06V30/194 ,  G06V40/10

Abstract: Embodiments are disclosed for finding similar persons in images. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an image query, the image query including an input image that includes a representation of a person, generating a first cropped image including a representation of the person's face and a second cropped image including a representation of the person's body, generating an image embedding for the input image by combining a face embedding corresponding to the first cropped image and a body embedding corresponding to the second cropped image, and querying an image repository in embedding space by comparing the image embedding to a plurality of image embeddings associated with a plurality of images in the image repository to obtain one or more images based on similarity to the input image in the embedding space.