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公开(公告)号:US12008033B2
公开(公告)日:2024-06-11
申请号:US17447908
申请日:2021-09-16
Applicant: ADOBE INC.
Inventor: Yaman Kumar , Vinh Ngoc Khuc , Vijay Srivastava , Umang Moorarka , Sukriti Verma , Simra Shahid , Shirsh Bansal , Shankar Venkitachalam , Sean Steimer , Sandipan Karmakar , Nimish Srivastav , Nikaash Puri , Mihir Naware , Kunal Kumar Jain , Kumar Mrityunjay Singh , Hyman Chung , Horea Bacila , Florin Silviu Iordache , Deepak Pai , Balaji Krishnamurthy
IPC: G06F7/02 , G06F16/00 , G06F16/535 , G06F16/54 , G06F16/58 , G06F16/583 , G06N20/00
CPC classification number: G06F16/5866 , G06F16/535 , G06F16/54 , G06F16/583 , G06N20/00
Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.
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公开(公告)号:US20240346629A1
公开(公告)日:2024-10-17
申请号:US18301671
申请日:2023-04-17
Applicant: ADOBE INC.
Inventor: Midhun Harikumar , Venkata Naveen Kumar Yadav Marri , Ajinkya Gorakhnath Kale , Pranav Vineet Aggarwal , Vinh Ngoc Khuc
IPC: G06T5/00 , G06F40/279 , G06T5/50
CPC classification number: G06T5/73 , G06F40/279 , G06T5/50
Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure obtain a text prompt for text guided image generation. A multi-modal encoder of an image processing apparatus encodes the text prompt to obtain a text embedding. A diffusion prior model of the image processing apparatus converts the text embedding to an image embedding. A latent diffusion model of the image processing apparatus generates an image based on the image embedding, wherein the image includes an element described by the text prompt.
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公开(公告)号:US20250078349A1
公开(公告)日:2025-03-06
申请号:US18459526
申请日:2023-09-01
Applicant: ADOBE INC.
Inventor: Wonwoong Cho , Hareesh Ravi , Midhun Harikumar , Vinh Ngoc Khuc , Krishna Kumar Singh , Jingwan Lu , Ajinkya Gorakhnath Kale
Abstract: A method, apparatus, and non-transitory computer readable medium for image generation are described. Embodiments of the present disclosure obtain a content input and a style input via a user interface or from a database. The content input includes a target spatial layout and the style input includes a target style. A content encoder of an image processing apparatus encodes the content input to obtain a spatial layout mask representing the target spatial layout. A style encoder of the image processing apparatus encodes the style input to obtain a style embedding representing the target style. An image generation model of the image processing apparatus generates an image based on the spatial layout mask and the style embedding, where the image includes the target spatial layout and the target style.
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公开(公告)号:US20240289380A1
公开(公告)日:2024-08-29
申请号:US18656332
申请日:2024-05-06
Applicant: Adobe Inc.
Inventor: Yaman Kumar , Vinh Ngoc Khuc , Vijay Srivastava , Umang Moorarka , Sukriti Verma , Simra Shahid , Shirsh Bansal , Shankar Venkitachalam , Sean Steimer , Sandipan Karmakar , Nimish Srivastav , Nikaash Puri , Mihir Naware , Kunal Kumar Jain , Kumar Mrityunjay Singh , Hyman Chung , Horea Bacila , Florin Silviu Lordache , Deepak Pai , Balaji Krishnamurthy
IPC: G06F16/58 , G06F16/535 , G06F16/54 , G06F16/583 , G06N20/00
CPC classification number: G06F16/5866 , G06F16/535 , G06F16/54 , G06F16/583 , G06N20/00
Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.
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公开(公告)号:US20230085466A1
公开(公告)日:2023-03-16
申请号:US17447908
申请日:2021-09-16
Applicant: ADOBE INC.
Inventor: Yaman Kumar , Vinh Ngoc Khuc , Vijay Srivastava , Umang Moorarka , Sukriti Verma , Simra Shahid , Shirsh Bansal , Shankar Venkitachalam , Sean Steimer , Sandipan Karmakar , Nimish Srivastav , Nikaash Puri , Mihir Naware , Kunal Kumar Jain , Kumar Mrityunjay Singh , Hyman Chung , Horea Bacila , Florin Silviu Iordache , Deepak Pai , Balaji Krishnamurthy
IPC: G06F16/58 , G06N20/00 , G06F16/535 , G06F16/583 , G06F16/54
Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.
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