公开(公告)号：US20240394846A1

公开(公告)日：2024-11-28

申请号：US18787991

申请日：2024-07-29

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Yawen HUANG ,  Yefeng ZHENG ,  LE ZHANG

IPC: G06T5/60 ,  G06T5/50 ,  G06V10/40

Abstract: A training method includes: obtaining a first sample image and at least two types of second sample images; respectively adding at least two damage feature corresponding to the second sample images to the first sample image, to generate at least two types of single degradation images; fusing the single degradation images, to obtain a multiple degradation image corresponding to the first sample image; performing image reconstruction processing on the multiple degradation image, to generate a predicted reconstruction image corresponding to the multiple degradation image; calculating a loss function value based on the second sample images, the single degradation images, the first sample image, and the predicted reconstruction image; and updating a model parameter of the model based on the loss function value.