Invention Grant
- Patent Title: Texture hallucination for large-scale image super-resolution
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Application No.: US16861688Application Date: 2020-04-29
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Publication No.: US11288771B2Publication Date: 2022-03-29
- Inventor: Yulun Zhang , Zhifei Zhang , Jose Ignacio Echevarria Vallespi , Zhaowen Wang , Stephen Diverdi
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: F. Chau & Associates, LLC
- Main IPC: G06T3/40
- IPC: G06T3/40

Abstract:
Systems and methods for texture hallucination with a large upscaling factor are described. Embodiments of the systems and methods may receive an input image and a reference image, extract an upscaled feature map from the input image, match the input image to a portion of the reference image, wherein a resolution of the reference image is higher than a resolution of the input image, concatenate the upscaled feature map with a reference feature map corresponding to the portion of the reference image to produce a concatenated feature map, and generate a reconstructed image based on the concatenated feature map using a machine learning model trained with a texture loss and a degradation loss, wherein the texture loss is based on a high frequency band filter, and the degradation loss is based on a downscaled version of the reconstructed image.
Public/Granted literature
- US20210342974A1 TEXTURE HALLUCINATION FOR LARGE-SCALE IMAGE SUPER-RESOLUTION Public/Granted day:2021-11-04
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