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    Semantic Image Fill at High Resolutions
    2.
    发明公开
    Semantic Image Fill at High Resolutions 审中-公开

    公开(公告)号：US20230360376A1

    公开(公告)日：2023-11-09

    申请号：US17744995

    申请日：2022-05-16

    Applicant: Adobe Inc.

    Inventor： Tobias Hinz ,  Taesung Park ,  Richard Zhang ,  Matthew David Fisher ,  Difan Liu ,  Evangelos Kalogerakis

    IPC: G06V10/774 ,  G06V10/22 ,  G06T3/40

    CPC classification number: G06V10/7753 ,  G06V10/235 ,  G06T3/4046

    Abstract: Semantic fill techniques are described that support generating fill and editing images from semantic inputs. A user input, for example, is received by a semantic fill system that indicates a selection of a first region of a digital image and a corresponding semantic label. The user input is utilized by the semantic fill system to generate a guidance attention map of the digital image. The semantic fill system leverages the guidance attention map to generate a sparse attention map of a second region of the digital image. A semantic fill of pixels is generated for the first region based on the semantic label and the sparse attention map. The edited digital image is displayed in a user interface.

    Generating modified digital images incorporating scene layout utilizing a swapping autoencoder
    4.
    发明授权
    Generating modified digital images incorporating scene layout utilizing a swapping autoencoder 有权

    公开(公告)号：US12254545B2

    公开(公告)日：2025-03-18

    申请号：US18298138

    申请日：2023-04-10

    Applicant: Adobe Inc.

    Inventor： Taesung Park ,  Alexei A Efros ,  Elya Shechtman ,  Richard Zhang ,  Junyan Zhu

    IPC: G06T11/60 ,  G06N3/045 ,  G06N3/088 ,  G06T7/10

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating modified digital images utilizing a novel swapping autoencoder that incorporates scene layout. In particular, the disclosed systems can receive a scene layout map that indicates or defines locations for displaying specific digital content within a digital image. In addition, the disclosed systems can utilize the scene layout map to guide combining portions of digital image latent code to generate a modified digital image with a particular textural appearance and a particular geometric structure defined by the scene layout map. Additionally, the disclosed systems can utilize a scene layout map that defines a portion of a digital image to modify by, for instance, adding new digital content to the digital image, and can generate a modified digital image depicting the new digital content.

    Generating collage digital images by combining scene layouts and pixel colors utilizing generative neural networks
    5.
    发明授权
    Generating collage digital images by combining scene layouts and pixel colors utilizing generative neural networks 有权

    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.

    HIGH-RESOLUTION IMAGE GENERATION
    6.
    发明公开
    HIGH-RESOLUTION IMAGE GENERATION 审中-公开

    公开(公告)号：US20240320789A1

    公开(公告)日：2024-09-26

    申请号：US18585957

    申请日：2024-02-23

    Applicant: ADOBE INC.

    Inventor： Tobias Hinz ,  Taesung Park ,  Jingwan Lu ,  Elya Shechtman ,  Richard Zhang ,  Oliver Wang

    IPC: G06T3/4053 ,  G06T3/4046 ,  G06T11/00

    CPC classification number: G06T3/4053 ,  G06T3/4046 ,  G06T11/00

    Abstract: A method, non-transitory computer readable medium, apparatus, and system for image generation include obtaining an input image having a first resolution, where the input image includes random noise, and generating a low-resolution image based on the input image, where the low-resolution image has the first resolution. The method, non-transitory computer readable medium, apparatus, and system further include generating a high-resolution image based on the low-resolution image, where the high-resolution image has a second resolution that is greater than the first resolution.

    GENERATING MODIFIED DIGITAL IMAGES INCORPORATING SCENE LAYOUT UTILIZING A SWAPPING AUTOENCODER
    8.
    发明公开
    GENERATING MODIFIED DIGITAL IMAGES INCORPORATING SCENE LAYOUT UTILIZING A SWAPPING AUTOENCODER 审中-公开

    公开(公告)号：US20230245363A1

    公开(公告)日：2023-08-03

    申请号：US18298138

    申请日：2023-04-10

    Applicant: Adobe Inc.

    Inventor： Taesung Park ,  Alexei A. Efros ,  Elya Shechtman ,  Richard Zhang ,  Junyan Zhu

    IPC: G06T11/60 ,  G06N3/088 ,  G06T7/10 ,  G06N3/045

    CPC classification number: G06T11/60 ,  G06N3/088 ,  G06T7/10 ,  G06N3/045

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating modified digital images utilizing a novel swapping autoencoder that incorporates scene layout. In particular, the disclosed systems can receive a scene layout map that indicates or defines locations for displaying specific digital content within a digital image. In addition, the disclosed systems can utilize the scene layout map to guide combining portions of digital image latent code to generate a modified digital image with a particular textural appearance and a particular geometric structure defined by the scene layout map. Additionally, the disclosed systems can utilize a scene layout map that defines a portion of a digital image to modify by, for instance, adding new digital content to the digital image, and can generate a modified digital image depicting the new digital content.

    Modifying neural networks for synthetic conditional digital content generation utilizing contrastive perceptual loss
    10.
    发明授权
    Modifying neural networks for synthetic conditional digital content generation utilizing contrastive perceptual loss 有权

    公开(公告)号：US11514632B2

    公开(公告)日：2022-11-29

    申请号：US17091440

    申请日：2020-11-06

    Applicant: Adobe Inc.

    Inventor： Bryan Russell ,  Taesung Park ,  Richard Zhang ,  Junyan Zhu ,  Alexander Andonian

    IPC: G09G5/00 ,  G06T11/60 ,  G06N3/04

    Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize a contrastive perceptual loss to modify neural networks for generating synthetic digital content items. For example, the disclosed systems generate a synthetic digital content item based on a guide input to a generative neural network. The disclosed systems utilize an encoder neural network to generate encoded representations of the synthetic digital content item and a corresponding ground-truth digital content item. Additionally, the disclosed systems sample patches from the encoded representations of the encoded digital content items and then determine a contrastive loss based on the perceptual distances between the patches in the encoded representations. Furthermore, the disclosed systems jointly update the parameters of the generative neural network and the encoder neural network utilizing the contrastive loss.

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