公开(公告)号：US20240394834A1

公开(公告)日：2024-11-28

申请号：US18323233

申请日：2023-05-24

Applicant: Adobe Inc.

Inventor： Zhihao Xia ,  Michael Gharbi ,  Jiawen Chen ,  Goutam Bhat

IPC: G06T3/40 ,  G06T3/00 ,  G06T5/00 ,  G06T7/20 ,  G06V10/56

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements self-supervised training of an image burst model, trained exclusively on low-resolution images. For example, the disclosed system accesses an image burst that includes a plurality of images. The disclosed system generates a high-resolution image estimation from a first subset of images of the plurality of images. Further, the disclosed system generates a set of low-resolution images by modifying the high-resolution image estimation based on parameters of one or more images from the plurality of images. Moreover, the disclosed system determines a measure of loss by comparing the set of low-resolution images with a second subset of images from the plurality of images and updates the image burst model with the determined measure of loss.