CUSTOMIZING GENERATION OF OBJECTS USING DIFFUSION MODELS

    公开(公告)号:US20250014233A1

    公开(公告)日:2025-01-09

    申请号:US18347366

    申请日:2023-07-05

    Applicant: Lemon Inc.

    Abstract: Methods of customizing generation of objects using diffusion models are provided. One or more parameters (e.g., a conditioning signal, network weights, or an initial or starting noise) of the diffusion model can be optimized by a backpropagation process, which can be performed by solving an augmented adjoint ordinary differential equation (ODE) based on an adjoint sensitivity method. The customized diffusion model can generate stylized objects, generate objects with specific visual effect(s), and provide adversary examples to audit security of an object generation system.

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