公开(公告)号：US20240402894A1

公开(公告)日：2024-12-05

申请号：US18679217

申请日：2024-05-30

Applicant: Beijing Zitiao Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Lijuan YU ,  Kewei CHEN ,  Kexin LIN ,  Qingyu CHEN ,  Haishan LIU ,  Shengru WANG

IPC: G06F3/04845 ,  G06F3/0482

Abstract: An effect processing method and apparatus, an electronic device, and a storage medium. The processing method includes: displaying an effect processing page, the effect processing page displaying an image to be processed; in response to an addition trigger operation for an effect processing identifier in the effect processing page, determining an effect processing tool corresponding to the effect processing identifier, and determining an effect processing mode corresponding to the effect processing tool; and, in response to a plurality of effect processing modes existing, generating an effect processing item corresponding to each of the plurality of effect processing modes, displaying the effect processing item in the effect processing page, and displaying an effect image obtained by applying effect processing modes corresponding to a plurality of effect processing items to the image to be processed.

公开(公告)号：US20250069279A1

公开(公告)日：2025-02-27

申请号：US18724491

申请日：2023-01-16

Applicant: Lemon Inc.

Inventor： Xiang LIU ,  Qingyu CHEN ,  Xing MEI ,  Lexin TANG ,  Lingyiqing ZHOU ,  Lelin ZHANG

IPC: G06T11/00 ,  G06T5/60 ,  G06T5/70 ,  G06T7/11

Abstract: Provided in the present disclosure are an image processing method and apparatus, and an electronic device and a storage medium. The method includes: obtaining configuration information matching effect editing in response to performing the effect editing on an initial image, wherein the configuration information includes a deep learning inference node for performing the effect editing on the initial image, and a pre-processing function node and a post-processing function node; calling processing logic of the pre-processing function node according to the configuration information to obtain input data; obtaining output data by means of an algorithm model corresponding to the deep learning inference node; and calling processing logic of the post-processing function node according to the configuration information to obtain a target image added with an effect.