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公开(公告)号：US11934448B2
公开(公告)日：2024-03-19
申请号：US18302201
申请日：2023-04-18
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
CPC classification number: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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公开(公告)号：US20230419551A1
公开(公告)日：2023-12-28
申请号：US17808261
申请日：2022-06-22
Applicant: Adobe Inc.
Inventor： Midhun Harikumar , Pranav Aggarwal , Ajinkya Gorakhnath Kale
Abstract: Techniques for generating a novel image using tokenized image representations are disclosed. In some embodiments, a method of generating the novel image includes generating, via a first machine learning model, a first sequence of coded representations of a first image having one or more features; generating, via a second machine learning model, a second sequence of coded representations of a sketch image having one or more edge features associated with the one or more features; predicting, via a third machine learning model, one or more subsequent coded representations based on the first sequence of coded representations and the second sequence of coded representations; and based on the subsequent coded representations, generating, via the third machine learning model, a first portion of a reconstructed image having one or more image attributes of the first image, and a second portion of the reconstructed image associated with the one or more edge features.
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23.发明授权公开(公告)号：US11574392B2
公开(公告)日：2023-02-07
申请号：US16803332
申请日：2020-02-27
Applicant: Adobe Inc.
Inventor： Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R McKinney , Archit Kalra
Abstract: The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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公开(公告)号：US12260480B2
公开(公告)日：2025-03-25
申请号：US18178791
申请日：2023-03-06
Applicant: Adobe Inc.
Inventor： Sukriti Verma , Venkata naveen kumar Yadav Marri , Ritiz Tambi , Pranav Vineet Aggarwal , Peter O'Donovan , Midhun Harikumar , Ajinkya Kale
IPC: G06T11/60 , G06F3/0482
Abstract: Embodiments are disclosed for machine learning-based generation of recommended layouts. The method includes receiving a set of design elements for performing generative layout recommendation. A number of each type of design element from the set of design elements is determined. A set of recommended layouts are generated using a trained generative layout model and the number and type of design elements. The set of recommended layouts are output.
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公开(公告)号：US20240404144A1
公开(公告)日：2024-12-05
申请号：US18329111
申请日：2023-06-05
Applicant: ADOBE INC.
Inventor： Pranav Vineet Aggarwal , Venkata Naveen Kumar Yadav Marri , Midhun Harikumar , Sachin Madhav Kelkar , Hareesh Ravi , Ajinkya Gorakhnath Kale
Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure, via a multi-modal encoder of an image processing apparatus, encodes a text prompt to obtain a text embedding. A color encoder of the image processing apparatus encodes a color prompt to obtain a color embedding. A diffusion prior model of the image processing apparatus generates an image embedding based on the text embedding and the color embedding. A latent diffusion model of the image processing apparatus generates an image based on the image embedding, where the image includes an element from the text prompt and a color from the color prompt.
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Patent Agency Ranking
公开(公告)号：US20230298224A1
公开(公告)日：2023-09-21
申请号：US17655035
申请日：2022-03-16
Applicant: ADOBE INC.
Inventor： Pranav Vineet Aggarwal , Midhun Harikumar , Ajinkya Gorakhnath Kale
IPC: G06T11/00 , G06T11/80 , G06F16/583 , G06N3/04 , G06F16/538
CPC classification number: G06T11/001 , G06T11/80 , G06F16/5838 , G06N3/0454 , G06F16/538
Abstract: A method and system for color optimization in generated images are described. The method and system include receiving an image generation prompt that includes a text description of target image content and color information describing a target color palette; encoding the image generation prompt to obtain image features that represent the target image content and the target color palette; and generating an image representing the target image content with the target color palette based on the image features.
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公开(公告)号：US20230206525A1
公开(公告)日：2023-06-29
申请号：US18117155
申请日：2023-03-03
Applicant: Adobe Inc.
Inventor： Midhun Harikumar , Pranav Aggarwal , Baldo Faieta , Ajinkya Kale , Zhe Lin
CPC classification number: G06T11/60 , G06T7/11 , G06T7/162 , G06T2207/20084 , G06T2207/20081
Abstract: A non-transitory computer-readable medium includes program code that is stored thereon. The program code is executable by one or more processing devices for performing operations including generating, using a model, a learned image representation of a target image. The operations further include generating, using a text embedding model, a text embedding of a text query. The text embedding and the learned image representation of the target image are in a same embedding space. Additionally, the operations include convolving the learned image representation of the target image with the text embedding of the text query. Moreover, the operations include generating an object-segmented image based on the convolving of the learned image representation of the target image with the text embedding.
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公开(公告)号：US11663264B2
公开(公告)日：2023-05-30
申请号：US16785410
申请日：2020-02-07
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F16/583 , G06F16/538 , G06F40/30 , G06F16/51 , G06F16/54
CPC classification number: G06F16/532 , G06F16/51 , G06F16/538 , G06F16/54 , G06F16/583 , G06F40/30
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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29.发明申请公开(公告)号：US20210272253A1
公开(公告)日：2021-09-02
申请号：US16803332
申请日：2020-02-27
Applicant: Adobe Inc.
Inventor： Zhe Lin , Vipul Dalal , Vera Lychagina , Shabnam Ghadar , Saeid Motiian , Rohith mohan Dodle , Prethebha Chandrasegaran , Mina Doroudi , Midhun Harikumar , Kannan Iyer , Jayant Kumar , Gaurav Kukal , Daniel Miranda , Charles R. McKinney , Archit Kalra
Abstract: The present disclosure relates to an image merging system that automatically and seamlessly detects and merges missing people for a set of digital images into a composite group photo. For instance, the image merging system utilizes a number of models and operations to automatically analyze multiple digital images to identify a missing person from a base image, segment the missing person from the second image, and generate a composite group photo by merging the segmented image of the missing person into the base image. In this manner, the image merging system automatically creates merged group photos that appear natural and realistic.
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公开(公告)号：US20210248177A1
公开(公告)日：2021-08-12
申请号：US16785410
申请日：2020-02-07
Applicant: Adobe Inc.
Inventor： Pramod Srinivasan , Zhe Lin , Samarth Gulati , Saeid Motiian , Midhun Harikumar , Baldo Antonio Faieta , Alex C. Filipkowski
IPC: G06F16/532 , G06F40/30 , G06F16/51 , G06F16/583 , G06F16/538 , G06F16/54
Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.
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