公开(公告)号：US11842165B2

公开(公告)日：2023-12-12

申请号：US16553305

申请日：2019-08-28

Applicant: Adobe Inc.

Inventor： Yang Yang ,  Zhe Lin

IPC: G06F16/53 ,  G06F40/58 ,  G06F16/58

CPC classification number: G06F40/58 ,  G06F16/53 ,  G06F16/5866

Abstract: In some embodiments, a context-based translation application generates a co-occurrence data structure for a target language describing co-occurrences of target language words and source language words. The context-based translation application receives an input tag for an input image in the source language to be translated into the target language. The context-based translation application obtains multiple candidate translations in the target language for the input tag and determines a translated tag from the multiple candidate translations based on the co-occurrence data structure. The context-based translation application further associates the translated tag with the input image.

公开(公告)号：US20230360299A1

公开(公告)日：2023-11-09

申请号：US18224916

申请日：2023-07-21

Applicant: Adobe Inc.

Inventor： Yang Yang ,  Zhixin Shu ,  Shabnam Ghadar ,  Jingwan Lu ,  Jakub Fiser ,  Elya Schechtman ,  Cameron Y. Smith ,  Baldo Antonio Faieta ,  Alex Charles Filipkowski

IPC: G06T11/60 ,  G06F21/62 ,  G06F16/56 ,  G06F16/532

CPC classification number: G06T11/60 ,  G06F21/6254 ,  G06F16/56 ,  G06F16/532 ,  G06T2200/24

Abstract: Face anonymization techniques are described that overcome conventional challenges to generate an anonymized face. In one example, a digital object editing system is configured to generate an anonymized face based on a target face and a reference face. As part of this, the digital object editing system employs an encoder as part of machine learning to extract a target encoding of the target face image and a reference encoding of the reference face. The digital object editing system then generates a mixed encoding from the target and reference encodings. The mixed encoding is employed by a machine-learning model of the digital object editing system to generate a mixed face. An object replacement module is used by the digital object editing system to replace the target face in the target digital image with the mixed face.

公开(公告)号：US20220148243A1

公开(公告)日：2022-05-12

申请号：US17094093

申请日：2020-11-10

Applicant: Adobe Inc.

Inventor： Yang Yang ,  Zhixin Shu ,  Shabnam Ghadar ,  Jingwan Lu ,  Jakub Fiser ,  Elya Schechtman ,  Cameron Y. Smith ,  Baldo Antonio Faieta ,  Alex Charles Filipkowski

IPC: G06T11/60 ,  G06T9/00 ,  G06F3/0484 ,  G06F16/532 ,  G06F21/62 ,  G06F16/56 ,  G06N20/00

Abstract: Face anonymization techniques are described that overcome conventional challenges to generate an anonymized face. In one example, a digital object editing system is configured to generate an anonymized face based on a target face and a reference face. As part of this, the digital object editing system employs an encoder as part of machine learning to extract a target encoding of the target face image and a reference encoding of the reference face. The digital object editing system then generates a mixed encoding from the target and reference encodings. The mixed encoding is employed by a machine-learning model of the digital object editing system to generate a mixed face. An object replacement module is used by the digital object editing system to replace the target face in the target digital image with the mixed face.

公开(公告)号：US11748928B2

公开(公告)日：2023-09-05

申请号：US17094093

申请日：2020-11-10

Applicant: Adobe Inc.

Inventor： Yang Yang ,  Zhixin Shu ,  Shabnam Ghadar ,  Jingwan Lu ,  Jakub Fiser ,  Elya Schechtman ,  Cameron Y. Smith ,  Baldo Antonio Faieta ,  Alex Charles Filipkowski

IPC: G06T11/60 ,  G06F21/62 ,  G06F16/56 ,  G06F16/532

CPC classification number: G06T11/60 ,  G06F16/532 ,  G06F16/56 ,  G06F21/6254 ,  G06T2200/24

Abstract: Face anonymization techniques are described that overcome conventional challenges to generate an anonymized face. In one example, a digital object editing system is configured to generate an anonymized face based on a target face and a reference face. As part of this, the digital object editing system employs an encoder as part of machine learning to extract a target encoding of the target face image and a reference encoding of the reference face. The digital object editing system then generates a mixed encoding from the target and reference encodings. The mixed encoding is employed by a machine-learning model of the digital object editing system to generate a mixed face. An object replacement module is used by the digital object editing system to replace the target face in the target digital image with the mixed face.

公开(公告)号：US20210064704A1

公开(公告)日：2021-03-04

申请号：US16553305

申请日：2019-08-28

Applicant: Adobe Inc.

Inventor： Yang Yang ,  Zhe Lin

IPC: G06F17/28 ,  G06F16/53 ,  G06F16/58

Abstract: In some embodiments, a context-based translation application generates a co-occurrence data structure for a target language describing co-occurrences of target language words and source language words. The context-based translation application receives an input tag for an input image in the source language to be translated into the target language. The context-based translation application obtains multiple candidate translations in the target language for the input tag and determines a translated tag from the multiple candidate translations based on the co-occurrence data structure. The context-based translation application further associates the translated tag with the input image.