SYSTEM AND METHOD FOR VEHICLE DESIGN

    公开(公告)号:US20240378349A1

    公开(公告)日:2024-11-14

    申请号:US18451207

    申请日:2023-08-17

    Abstract: Systems, methods, and other embodiments described herein relate to generating vehicle design using a diffusion model. In one embodiment, a method includes generating an image based on a reference image and a text description of the reference image using a diffusion model. The method includes, based on whether the image meets a predetermined constraint, generating an intermediate image based on the image and the predetermined constraint using an analysis model such that the intermediate image is incrementally closer to meeting the predetermined constraint than the image, regenerating the image based on the intermediate image using the diffusion model, and outputting the image.

    PROPAGATING IMAGE CHANGES BETWEEN DIFFERENT VIEWS USING A DIFFUSION MODEL

    公开(公告)号:US20240378797A1

    公开(公告)日:2024-11-14

    申请号:US18476866

    申请日:2023-09-28

    Abstract: Systems, methods, and other embodiments described herein relate to altering an image and propagating changes to other images of the same object using a diffusion model. In one embodiment, a method includes acquiring object images depicting an object. The method includes, responsive to altering one of the object images into an edited image, adapting the object images to reflect changes in the edited image by iteratively applying a diffusion model to the object images until satisfying a consistency threshold. The method includes providing the object images to represent an edited version of the object.

    SYSTEMS AND METHODS FOR ESTIMATING VEHICLE PHYSICAL-DESIGN PARAMETERS FROM IMAGE DATA

    公开(公告)号:US20240378348A1

    公开(公告)日:2024-11-14

    申请号:US18446529

    申请日:2023-08-09

    Abstract: Systems and methods described herein relate to estimating vehicle physical-design parameters from image data. In one embodiment, a system that estimates vehicle physical-design parameters receives one or more images representing a physical design of a vehicle. The system also processes the one or more images using a machine-learning-based model that includes a pre-trained feature extractor whose output layer has been replaced with a regression layer. The regression layer, after the regression layer has replaced the output layer, is trained to output an estimate of a physical-design parameter of the vehicle whose physical design is represented by the one or more images. The physical design of the vehicle is modified based, at least in part, on the estimate of the physical-design parameter.

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