Patent ID: 11948281
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A computing system comprising:
means for performing patch similarity analysis on feature patches of a low-resolution inpainting result, wherein the low-resolution inpainting result comprises valid feature patches outside of a designated portion of the low-resolution inpainting result and generated feature patches inside of the designated portion and the generated feature patches being determined using image inpainting and patch similarity analysis compares the valid feature patches with the generated feature patches;
means for identifying a high-resolution feature patch in a higher-resolution input image, the higher-resolution feature patch being from outside a portion of the higher-resolution input image corresponding to the designated portion of the low-resolution impainting result, wherein the high-resolution feature patch in the higher-resolution input image is identified by mapping, via a high-resolution input neural network, a most similar valid feature patch in the low-resolution inpainting result to the high-resolution feature patch in the higher-resolution input image, wherein the mapping is performed by scaling coordinates of the most similar valid feature patch to coordinates of the high-resolution feature patch, wherein the higher-resolution input image and the high-resolution feature patch have a higher resolution compared to the low-resolution inpainting result, the valid feature patches, and the generated feature patches;
means for incorporating, via a machine learning model, the high-resolution feature patch, that mapped to the most similar valid feature patch in the low-resolution inpainting result, into the higher-resolution input image to provide upsampling image reconstruction of the low-resolution inpainting result.