WAVELET-DRIVEN IMAGE SYNTHESIS WITH DIFFUSION MODELS

    公开(公告)号:US20240169488A1

    公开(公告)日:2024-05-23

    申请号:US18056405

    申请日:2022-11-17

    Applicant: ADOBE INC.

    Abstract: Systems and methods for synthesizing images with increased high-frequency detail are described. Embodiments are configured to identify an input image including a noise level and encode the input image to obtain image features. A diffusion model reduces a resolution of the image features at an intermediate stage of the model using a wavelet transform to obtain reduced image features at a reduced resolution, and generates an output image based on the reduced image features using the diffusion model. In some cases, the output image comprises a version of the input image that has a reduced noise level compared to the noise level of the input image.

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