Image editing by a generative adversarial network using keypoints or segmentation masks constraints
US-2021264207-A1 · Aug 26, 2021 · US
US2023089790A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023089790-A1 |
| Application number | US-202117479970-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 20, 2021 |
| Priority date | Sep 20, 2021 |
| Publication date | Mar 23, 2023 |
| Grant date | — |
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A computer hardware system having an image modification platform includes a hardware processor configured to initiate the following executable operations. A digital image is received by the image modification platform. A plurality of objects within the digital image are detected using an object segmentation engine of the image modification platform. The plurality of objects are classified using an object classification engine of the image modification platform and involve associating a stakeholder, respectively, to at least two of the plurality of objects. A knowledge map for the digital image is generated based upon the classifying and the stakeholders using a knowledge map engine. A set of constraints are identified for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders. A modified digital image to be published is generated by an interactive image generation engine using the sets of constraints.
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented process performed by a computer hardware system including an image modification platform, comprising: receiving, by the image modification platform, a digital image; detecting, using an object segmentation engine of the image modification platform, a plurality of objects within the digital image; classifying, using an object classification engine of the image modification platform, the plurality of objects, the classifying including associating a stakeholder, respectively, to at least two of the plurality of objects; generating, using a knowledge map engine, a knowledge map for the digital image based upon the classifying and the stakeholders, identifying a set of constraints, for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders; generating, by an interactive image generation engine, a modified digital image using the sets of constraints to be published. 2 . The process of claim 1 , wherein the image modification platform is configured to initiate, based upon the knowledge map, a multimodal communication with the plurality of stakeholders, and the sets of constraints are identified based upon information received by the image modification platform during the multimodal communication. 3 . The process of claim 2 , wherein at least a portion of the sets of constraints are automatically generated using the information received by the image modification platform during the multimodal communication. 4 . The process of claim 2 , wherein information provided to the stakeholders during the multimodal communication is based upon the knowledge map. 5 . The process of claim 2 , wherein a version of the modified digital image is provided to the stakeholders, feedback to the version of the modified digital image is received from the stakeholders and provided during the multimodal communication, the sets of constraints are modified based upon the feedback, and another version of the modified digital image is generated using the modified plurality of constraints. 6 . The process of claim 5 , wherein the sets of constraints are iteratively modified based upon one or more additional versions of the modified image until a last modified digital image provided to the stakeholders is approved by all of the stakeholders, and the last modified digital image is the modified digital image to be published. 7 . The process of claim 1 , wherein at least one set of the sets of constraints include a positional constraint, a visual constraint, a privacy constraint, and a neighboring constraint. 8 . The process of claim 1 , wherein the knowledge map for the digital image maps relationships between objects within the digital image and includes attributes for each of the objects. 9 . A computer hardware system including an image modification platform, comprising: a hardware processor configured to initiate the following executable operations: receiving, by the image modification platform, a digital image; detecting, using an object segmentation engine of the image modification platform, a plurality of objects within the digital image; classifying, using an object classification engine of the image modification platform, the plurality of objects, the classifying including associating a stakeholder, respectively, to at least two of the plurality of objects; generating, using a knowledge map engine, a knowledge map for the digital image based upon the classifying and the stakeholders, identifying a set of constraints, for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders; generating, by an interactive image generation engine, a modified digital image using the sets of constraints to be published. 10 . The computer hardware system of claim 9 , wherein the image modification platform is configured to initiate, based upon the knowledge map, a multimodal communication with the plurality of stakeholders, and the sets of constraints are identified based upon information received by the image modification platform during the multimodal communication. 11 . The computer hardware system of claim 10 , wherein at least a portion of the sets of constraints are automatically generated using the information received by the image modification platform during the multimodal communication. 12 . The computer hardware system of claim 10 , wherein information provided to the stakeholders during the multimodal communication is based upon the knowledge map. 13 . The computer hardware system of claim 10 , wherein a version of the modified digital image is provided to the stakeholders, feedback to the version of the modified digital image is received from the stakeholders and provided during the multimodal communication, the sets of constraints are modified based upon the feedback, and another version of the modified digital image is generated using the modified plurality of constraints. 14 . The computer hardware system of claim 13 , wherein the sets of constraints are iteratively modified based upon one or more additional versions of the modified image until a last modified digital image provided to the stakeholders is approved by all of the stakeholders, and the last modified digital image is the modified digital image to be published. 15 . The computer hardware system of claim 9 , wherein at least one set of the sets of constraints include a positional constraint, a visual constraint, a privacy constraint, and a neighboring constraint. 16 . The computer hardware system of claim 9 , wherein the knowledge map for the digital image maps relationships between objects within the digital image and includes attributes for each of the objects. 17 . A computer program product, comprising: a computer readable storage medium having stored therein program code, the program code, which when executed by a computer hardware system including an image modification platform, causes the computer hardware system to perform: receiving, by the image modification platform, a digital image; detecting, using an object segmentation engine of the image modification platform, a plurality of objects within the digital image; classifying, using an object classification engine of the image modification platform, the plurality of objects, the classifying including associating a stakeholder, respectively, to at least two of the plurality of objects; generating, using a knowledge map engine, a knowledge map for the digital image based upon the classifying and the stakeholders, identifying a set of constraints, for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders; generating, by an interactive image generation engine, a modified digital image using the sets of constraints to be published. 18 . The computer program product of claim 17 , wherein the image modification platform is configured to initiate, based upon the knowledge map, a multimodal communication with the plurality of stakeholders, the sets of constraints are identified based upon information received by the image modification platform during the multimodal communication, at least a portion of the sets of constraints are automatically generated using the information received by the image modification platform during the multimodal communication, and information provided to the stakeholders during the multimodal communication is based upon the knowledge map. 19 .
Labelling scene content, e.g. deriving syntactic or semantic representations · CPC title
Region-based segmentation · CPC title
Human being; Person · CPC title
Artificial neural networks [ANN] · CPC title
Classification techniques · CPC title
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