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

IPC: G06T11/60 ,  G06F40/40 ,  G06N3/045 ,  G06N3/08 ,  G06T11/00

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.

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.

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

IPC: G06T11/60 ,  G06T7/11 ,  G06T7/162

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.

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.

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

IPC: G06T5/50 ,  G06K9/00 ,  G06T7/11 ,  G06K9/62 ,  G06T7/70

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.

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.