中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

26 records (took 0.02 seconds)

    AUTOMATICALLY GENERATING AN IMAGE DATASET BASED ON OBJECT INSTANCE SIMILARITY
    11.
    发明申请
    AUTOMATICALLY GENERATING AN IMAGE DATASET BASED ON OBJECT INSTANCE SIMILARITY 有权

    公开(公告)号：US20220391633A1

    公开(公告)日：2022-12-08

    申请号：US17337194

    申请日：2021-06-02

    Applicant: Adobe Inc.

    Inventor： Midhun Harikumar ,  Zhe Lin ,  Shabnam Ghadar ,  Baldo Faieta

    IPC: G06K9/62 ,  G06N3/08

    Abstract: Methods, systems, and non-transitory computer readable media are disclosed for accurately and efficiently generating groups of images portraying semantically similar objects for utilization in building machine learning models. In particular, the disclosed system utilizes metadata and spatial statistics to extract semantically similar objects from a repository of digital images. In some embodiments, the disclosed system generates color embeddings and content embeddings for the identified objects. The disclosed system can further group similar objects together within a query space by utilizing a clustering algorithm to create object clusters and then refining and combining the object clusters within the query space. In some embodiments, the disclosed system utilizes one or more of the object clusters to build a machine learning model.

    UTILIZING A DIFFUSION PRIOR NEURAL NETWORK FOR TEXT GUIDED DIGITAL IMAGE EDITING
    14.
    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.

    GENERATING NOVEL IMAGES USING SKETCH IMAGE REPRESENTATIONS
    18.
    发明公开
    GENERATING NOVEL IMAGES USING SKETCH IMAGE REPRESENTATIONS 审中-公开

    公开(公告)号：US20230419551A1

    公开(公告)日：2023-12-28

    申请号：US17808261

    申请日：2022-06-22

    Applicant: Adobe Inc.

    Inventor： Midhun Harikumar ,  Pranav Aggarwal ,  Ajinkya Gorakhnath Kale

    IPC: G06T9/00 ,  G06T7/10

    CPC classification number: G06T9/001 ,  G06T9/008 ,  G06T7/10

    Abstract: Techniques for generating a novel image using tokenized image representations are disclosed. In some embodiments, a method of generating the novel image includes generating, via a first machine learning model, a first sequence of coded representations of a first image having one or more features; generating, via a second machine learning model, a second sequence of coded representations of a sketch image having one or more edge features associated with the one or more features; predicting, via a third machine learning model, one or more subsequent coded representations based on the first sequence of coded representations and the second sequence of coded representations; and based on the subsequent coded representations, generating, via the third machine learning model, a first portion of a reconstructed image having one or more image attributes of the first image, and a second portion of the reconstructed image associated with the one or more edge features.

Patent Agency Ranking