Invention Publication
- Patent Title: WAVELET-DRIVEN IMAGE SYNTHESIS WITH DIFFUSION MODELS
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Application No.: US18056405Application Date: 2022-11-17
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Publication No.: US20240169488A1Publication Date: 2024-05-23
- Inventor: Nan Liu , Yijun Li , Michaël Yanis Gharbi , Jingwan Lu
- Applicant: ADOBE INC.
- Applicant Address: US CA SAN JOSE
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA SAN JOSE
- Main IPC: G06T5/00
- IPC: G06T5/00 ; G06T3/40

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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