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    Unsupervised style and color cues for transformer-based image generation
    11.
    发明授权
    Unsupervised style and color cues for transformer-based image generation 有权

    公开(公告)号：US12277630B2

    公开(公告)日：2025-04-15

    申请号：US17662560

    申请日：2022-05-09

    Applicant: ADOBE INC.

    Inventor： Pranav Vineet Aggarwal ,  Midhun Harikumar ,  Ajinkya Gorakhnath Kale

    IPC: G06T11/40 ,  G06N3/045 ,  G06N3/088 ,  G06T7/13

    Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure identify target style attributes and target structure attributes for a composite image; generate a matrix of composite feature tokens based on the target style attributes and the target structure attributes, wherein subsequent feature tokens of the matrix of composite feature tokens are sequentially generated based on previous feature tokens of the matrix of composite feature tokens according to a linear ordering of the matrix of composite feature tokens; and generate the composite image based on the matrix of composite feature tokens, wherein the composite image includes the target style attributes and the target structure attributes.

    Image segmentation using text embedding
    13.
    发明授权
    Image segmentation using text embedding 有权

    公开(公告)号：US12008698B2

    公开(公告)日：2024-06-11

    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 ,  G06T2207/20081 ,  G06T2207/20084

    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.

    IMAGE SEGMENTATION USING TEXT EMBEDDING
    16.
    发明申请
    IMAGE SEGMENTATION USING TEXT EMBEDDING 有权

    公开(公告)号：US20220156992A1

    公开(公告)日：2022-05-19

    申请号：US16952008

    申请日：2020-11-18

    Applicant: Adobe Inc.

    Inventor： Midhun Harikumar ,  Pranav Aggarwal ,  Baldo Faieta ,  Ajinkya Kale ,  Zhe Lin

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

    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, by a model that includes trainable components, a learned image representation of a target image. The operations further include generating, by 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 generating a class activation map of the target image by, at least, 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 using the class activation map of the target image.

    UTILIZING A DIFFUSION PRIOR NEURAL NETWORK FOR TEXT GUIDED DIGITAL IMAGE EDITING
    17.
    发明公开
    UTILIZING A DIFFUSION PRIOR NEURAL NETWORK FOR TEXT GUIDED DIGITAL IMAGE EDITING 审中-公开

    公开(公告)号：US20240362842A1

    公开(公告)日：2024-10-31

    申请号：US18308017

    申请日：2023-04-27

    Applicant: Adobe Inc.

    Inventor： Hareesh Ravi ,  Sachin Kelkar ,  Midhun Harikumar ,  Ajinkya Gorakhnath Kale

    IPC: G06T11/60 ,  G06T5/00

    CPC classification number: G06T11/60 ,  G06T5/70 ,  G06T2200/24 ,  G06T2207/20084

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for utilizing a diffusion prior neural network for text guided digital image editing. For example, in one or more embodiments the disclosed systems utilize a text-image encoder to generate a base image embedding from the base digital image and an edit text embedding from edit text. Moreover, the disclosed systems utilize a diffusion prior neural network to generate a text-image embedding. In particular, the disclosed systems inject the base image embedding at a conceptual editing step of the diffusion prior neural network and condition a set of steps of the diffusion prior neural network after the conceptual editing step utilizing the edit text embedding. Furthermore, the disclosed systems utilize a diffusion neural network to create a modified digital image from the text-edited image embedding and the base image embedding.

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