GENERATING IMAGES BY EXPANDING PROMPTS USING GENERATIVE NEURAL NETWORKS

    公开(公告)号:US20250166241A1

    公开(公告)日:2025-05-22

    申请号:US18950898

    申请日:2024-11-18

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method comprises: obtaining an input query comprising text; processing, using prompt expansion model, a model input comprising at least the input query to generate a set of expanded prompts of the input query, wherein each of the expanded prompts describes an image in more detail than the input query; and for one or more of the expanded prompts in the set, generating, using an image generation model, a respective image that represents the expanded prompt.

    Systems And Methods For Generating Predicted Visual Observations Of An Environment Using Machine Learned Models

    公开(公告)号:US20230072293A1

    公开(公告)日:2023-03-09

    申请号:US17409249

    申请日:2021-08-23

    Applicant: Google LLC

    Abstract: A computing system for generating predicted images along a trajectory of unseen viewpoints. The system can obtain one or more spatial observations of an environment that may be captured from one or more previous camera poses. The system can generate a three-dimensional point cloud for the environment from the one or more spatial observations and the one or more previous camera poses. The system can project the three-dimensional point cloud into two-dimensional space to form one or more guidance spatial observations. The system can process the one or more guidance spatial observations with a machine-learned spatial observation prediction model to generate one or more predicted spatial observations. The system can process the one or more predicted spatial observations and image data with a machine-learned image prediction model to generate one or more predicted images from the target camera pose. The system can output the one or more predicted images.

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