公开(公告)号：US12067046B2

公开(公告)日：2024-08-20

申请号：US17932742

申请日：2022-09-16

Applicant: ADOBE INC.

Inventor： Sachin Madhav Kelkar ,  Ajinkya Gorakhnath Kale ,  Alvin Ghouas ,  Baldo Antonio Faieta

IPC: G06F16/54 ,  G06V10/22 ,  G06V10/772

CPC classification number: G06F16/54 ,  G06V10/23 ,  G06V10/772

Abstract: Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.

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：US20250117974A1

公开(公告)日：2025-04-10

申请号：US18908075

申请日：2024-10-07

Applicant: ADOBE INC.

Inventor： Midhun Harikumar ,  Nicholas Isaac Kolkin ,  Sachin Madhav Kelkar ,  Purvak Lapsiya ,  Elya Shechtman ,  Ajinkya Gorakhnath Kale ,  Jalansh Saumil Munshi

IPC: G06T11/00 ,  G06F40/284 ,  G06T5/70

Abstract: A method, apparatus, non-transitory computer readable medium, and system for generating synthetic images depicting an image element with a target composition include obtaining a content input and a composition input. The content input indicates an image element and the composition input indicates a target composition of the image element. Embodiments then encode the composition input to obtain a composition embedding representing the target composition. Subsequently, embodiments generate, using an image generation model, a synthetic image based on the content input and the composition embedding. The synthetic image depicts the image element with the target composition.

公开(公告)号：US20250117970A1

公开(公告)日：2025-04-10

申请号：US18637654

申请日：2024-04-17

Applicant: ADOBE INC.

Inventor： Sachin Madhav Kelkar ,  Hareesh Ravi ,  Ritiz Tambi ,  Ajinkya Gorakhnath Kale

IPC: G06T11/00

Abstract: A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining a text prompt and a conditioning attribute. The text prompt is encoded to obtain a text embedding. The conditioning attribute is encoded to obtain an attribute embedding. Then a synthesized image is generated using an image generation model based on the text embedding and the attribute embedding. The synthesized image has the conditioning attribute and depicts an element of the text prompt.

公开(公告)号：US20240095277A1

公开(公告)日：2024-03-21

申请号：US17932742

申请日：2022-09-16

Applicant: ADOBE INC.

Inventor： Sachin Madhav Kelkar ,  Ajinkya Gorakhnath Kale ,  Alvin Ghouas ,  Baldo Antonio Faieta

IPC: G06F16/54 ,  G06V10/22 ,  G06V10/772

CPC classification number: G06F16/54 ,  G06V10/23 ,  G06V10/772

Abstract: Systems and methods for image exploration are provided. One aspect of the systems and methods includes identifying a set of images; reducing the set of images to obtain a representative set of images that is distributed throughout the set of images by removing a neighbor image based on a proximity of the neighbor image to an image of the representative set of images; arranging the representative set of images in a grid structure using a self-sorting map (SSM) algorithm; and displaying a portion of the representative set of images based on the grid structure.

公开(公告)号：US20230316803A1

公开(公告)日：2023-10-05

申请号：US17657195

申请日：2022-03-30

Applicant: ADOBE INC.

Inventor： Sachin Madhav Kelkar ,  Ajinkya Gorakhnath Kale

IPC: G06V40/16 ,  G06V10/22 ,  G06V10/74 ,  G06V30/10 ,  G06T11/00 ,  G06V10/82

CPC classification number: G06V40/161 ,  G06V10/22 ,  G06V10/761 ,  G06V30/10 ,  G06T11/00 ,  G06V10/82

Abstract: Systems and methods for face annotation are described. One or more of the systems and methods include receiving a plurality of annotated images, wherein each annotated image of the annotated images comprises a caption; cropping the annotated image based on a face detection algorithm to obtain a face crop; comparing the face crop to the caption corresponding to the annotated image to obtain a caption similarity score; and filtering the plurality of annotated images based on the caption similarity score to obtain a plurality of annotated face images.