公开(公告)号：US12136151B2

公开(公告)日：2024-11-05

申请号：US17650957

申请日：2022-02-14

Applicant: Adobe Inc.

Inventor： Nadav Epstein ,  Alexei A. Efros ,  Taesung Park ,  Richard Zhang ,  Elya Shechtman

IPC: G06T11/60 ,  G06T7/90

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.

公开(公告)号：US20250045994A1

公开(公告)日：2025-02-06

申请号：US18924508

申请日：2024-10-23

Applicant: Adobe Inc.

Inventor： Nadav Epstein ,  Alexei A Efros ,  Taesung Park ,  Richard Zhang ,  Elya Shechtman

IPC: G06T11/60 ,  G06T7/90

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.

公开(公告)号：US20230260175A1

公开(公告)日：2023-08-17

申请号：US17650957

申请日：2022-02-14

Applicant: Adobe Inc.

Inventor： Nadav Epstein ,  Alexei A. Efros ,  Taesung Park ,  Richard Zhang ,  Elya Shechtman

IPC: G06T11/60 ,  G06T7/90

CPC classification number: G06T11/60 ,  G06T7/90 ,  G06T2207/20084 ,  G06T2207/20212

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.