公开(公告)号：US12148074B2

公开(公告)日：2024-11-19

申请号：US17503671

申请日：2021-10-18

Applicant: Adobe Inc.

Inventor： He Zhang ,  Jeya Maria Jose Valanarasu ,  Jianming Zhang ,  Jose Ignacio Echevarria Vallespi ,  Kalyan Sunkavalli ,  Yilin Wang ,  Yinglan Ma ,  Zhe Lin ,  Zijun Wei

IPC: G06T11/60 ,  G06F3/04842 ,  G06F3/04845 ,  G06N3/08 ,  G06V10/40 ,  G06V10/75

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating harmonized digital images utilizing an object-to-object harmonization neural network. For example, the disclosed systems implement, and learn parameters for, an object-to-object harmonization neural network to combine a style code from a reference object with features extracted from a target object. Indeed, the disclosed systems extract a style code from a reference object utilizing a style encoder neural network. In addition, the disclosed systems generate a harmonized target object by applying the style code of the reference object to a target object utilizing an object-to-object harmonization neural network.

公开(公告)号：US20230122623A1

公开(公告)日：2023-04-20

申请号：US17503671

申请日：2021-10-18

Applicant: Adobe Inc.

Inventor： He Zhang ,  Jeya Maria Jose Valanarasu ,  Jianming Zhang ,  Jose Ignacio Echevarria Vallespi ,  Kalyan Sunkavalli ,  Yilin Wang ,  Yinglan Ma ,  Zhe Lin ,  Zijun Wei

IPC: G06T11/60 ,  G06F3/0484 ,  G06K9/46 ,  G06K9/62 ,  G06N3/08

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating harmonized digital images utilizing an object-to-object harmonization neural network. For example, the disclosed systems implement, and learn parameters for, an object-to-object harmonization neural network to combine a style code from a reference object with features extracted from a target object. Indeed, the disclosed systems extract a style code from a reference object utilizing a style encoder neural network. In addition, the disclosed systems generate a harmonized target object by applying the style code of the reference object to a target object utilizing an object-to-object harmonization neural network.