公开(公告)号：US20240303462A1

公开(公告)日：2024-09-12

申请号：US18119488

申请日：2023-03-09

Applicant: ADOBE INC.

Inventor： Zichuan LIU ,  Xin LU ,  Wentian ZHAO

IPC: G06N3/04

CPC classification number: G06N3/04

Abstract: In various examples, a machine learning model is converted for execution by a computing device. For example, a computing graph is generated based on the machine learning model and sub-graphs within the computing graph that match sub-structures that are detected and combined into a vertex to generate an optimized computing graph. A net-list object and weight object are then generated based on the optimized computing graph and provided to the computing device to enable inferencing operations.

公开(公告)号：US20230410553A1

公开(公告)日：2023-12-21

申请号：US17842056

申请日：2022-06-16

Applicant: ADOBE INC.

Inventor： Xin LU ,  Simon Su CHEN ,  Jingyuan LIU ,  He ZHANG ,  Brian PRICE ,  Calista CHANDLER

IPC: G06V40/16 ,  G06T5/00

CPC classification number: G06V40/162 ,  G06T2207/10024 ,  G06T5/001 ,  G06V40/172

Abstract: An image processing system auto white balances an image using an object in the image and a reference color distribution. Given an input image, a target object in the input image is identified. A reference color distribution for the object type of the target object from the input image is accessed. One or more image processing settings are determined that, when applied to the input image, minimize a difference in values between pixels of the target object and the reference color distribution. A white balanced image is generated by applying the one or more image processing settings to the input image, and the white balanced image is provided for presentation.