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公开(公告)号：US10958829B2
公开(公告)日：2021-03-23
申请号：US16743976
申请日：2020-01-15
Applicant: Adobe Inc.
Inventor： Alannah Oleson , Radomir Mech , Jose Echevarria , Jingwan Lu
Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.
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公开(公告)号：US20200154037A1
公开(公告)日：2020-05-14
申请号：US16743976
申请日：2020-01-15
Applicant: Adobe Inc.
Inventor： Alannah Oleson , Radomir Mech , Jose Echevarria , Jingwan Lu
Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that can guide a user to align a camera feed captured by a user client device with a target digital image. In particular, the systems described herein can analyze a camera feed to determine image attributes for the camera feed. The systems can compare the image attributes of the camera feed with corresponding target image attributes of a target digital image. Additionally, the systems can generate and provide instructions to guide a user to align the image attributes of the camera feed with the target image attributes of the target digital image.
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公开(公告)号：US20200082591A1
公开(公告)日：2020-03-12
申请号：US16681218
申请日：2019-11-12
Applicant: Adobe Inc.
Inventor： David Simons , Michal Lukac , Daniel Sykora , Elya Shechtman , Paul Asente , Jingwan Lu , Jakub Fiser , Ondrej Jamriska
IPC: G06T13/40 , G06T13/80 , G06T11/00 , G06T5/50 , G06T5/00 , G06T3/00 , G06T7/90 , G06T7/73 , G06T7/11 , G06T7/194 , G06K9/00 , G06T15/04
Abstract: Certain embodiments involve generating one or more of appearance guide and a positional guide and using one or more of the guides to synthesize a stylized image or animation. For example, a system obtains data indicating a target image and a style exemplar image. The system generates an appearance guide, a positional guide, or both from the target image and the style exemplar image. The system uses one or more of the guides to transfer a texture or style from the style exemplar image to the target image.
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公开(公告)号：US20190340419A1
公开(公告)日：2019-11-07
申请号：US15970831
申请日：2018-05-03
Applicant: Adobe Inc.
Inventor： Rebecca Ilene Milman , Jose Ignacio Echevarria Vallespi , Jingwan Lu , Elya Shechtman , Duygu Ceylan Aksit , David P. Simons
Abstract: Generation of parameterized avatars is described. An avatar generation system uses a trained machine-learning model to generate a parameterized avatar, from which digital visual content (e.g., images, videos, augmented and/or virtual reality (AR/VR) content) can be generated. The machine-learning model is trained to identify cartoon features of a particular style—from a library of these cartoon features—that correspond to features of a person depicted in a digital photograph. The parameterized avatar is data (e.g., a feature vector) that indicates the cartoon features identified from the library by the trained machine-learning model for the depicted person. This parameterization enables the avatar to be animated. The parameterization also enables the avatar generation system to generate avatars in non-photorealistic (relatively cartoony) styles such that, despite the style, the avatars preserve identities and expressions of persons depicted in input digital photographs.
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公开(公告)号：US20190318726A1
公开(公告)日：2019-10-17
申请号：US16108996
申请日：2018-08-22
Applicant: Adobe Inc. , The Trustees of Princeton University
Inventor： Zeyu Jin , Gautham J. Mysore , Jingwan Lu , Adam Finkelstein
Abstract: Techniques for a recursive deep-learning approach for performing speech synthesis using a repeatable structure that splits an input tensor into a left half and right half similar to the operation of the Fast Fourier Transform, performs a 1-D convolution on each respective half, performs a summation and then applies a post-processing function. The repeatable structure may be utilized in a series configuration to operate as a vocoder or perform other speech processing functions.
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Patent Agency Ranking
公开(公告)号：US10403015B2
公开(公告)日：2019-09-03
申请号：US15288999
申请日：2016-10-07
Applicant: ADOBE INC.
Inventor： Paul John Asente , Jingwan Lu , Lena Edith Elfriede Gieseke
Abstract: A procedural model enables a user to configure a global space organization function for the generation of decorative ornaments. The user provides data to seed the generation of the ornaments, as well as localized interactive edits to the generated ornaments. The procedural model iteratively places decorative elements at a subset of locations within an ornament area (or domain) based on generalized placement functions employed by the global space organization function. As such, the user is enabled to interactively generate and edit decorative ornaments via configuring the global space organization function and employing editing tools. Such functionality significantly decreases the effort typically required to generate ornate ornaments, while retaining control of the aesthetic organization and structure of the ornament. The generalized placement functions and heuristics of the global space organization function enable such control.
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公开(公告)号：US12272031B2
公开(公告)日：2025-04-08
申请号：US17725818
申请日：2022-04-21
Applicant: Adobe Inc.
Inventor： Krishna Kumar Singh , Yuheng Li , Yijun Li , Jingwan Lu , Elya Shechtman
Abstract: An image inpainting system is described that receives an input image that includes a masked region. From the input image, the image inpainting system generates a synthesized image that depicts an object in the masked region by selecting a first code that represents a known factor characterizing a visual appearance of the object and a second code that represents an unknown factor characterizing the visual appearance of the object apart from the known factor in latent space. The input image, the first code, and the second code are provided as input to a generative adversarial network that is trained to generate the synthesized image using contrastive losses. Different synthesized images are generated from the same input image using different combinations of first and second codes, and the synthesized images are output for display.
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公开(公告)号：US12254594B2
公开(公告)日：2025-03-18
申请号：US17657691
申请日：2022-04-01
Applicant: Adobe Inc.
Inventor： Hui Qu , Jingwan Lu , Saeid Motiian , Shabnam Ghadar , Wei-An Lin , Elya Shechtman
Abstract: Methods, systems, and non-transitory computer readable media are disclosed for intelligently enhancing details in edited images. The disclosed system iteratively updates residual detail latent code for segments in edited images where detail has been lost through the editing process. More particularly, the disclosed system enhances an edited segment in an edited image based on details in a detailed segment of an image. Additionally, the disclosed system may utilize a detail neural network encoder to project the detailed segment and a corresponding segment of the edited image into a residual detail latent code. In some embodiments, the disclosed system generates a refined edited image based on the residual detail latent code and a latent vector of the edited image.
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公开(公告)号：US20250069299A1
公开(公告)日：2025-02-27
申请号：US18452827
申请日：2023-08-21
Applicant: ADOBE INC.
Inventor： Kevin Duarte , Wei-An Lin , Ratheesh Kalarot , Shabnam Ghadar , Jingwan Lu , Elya Shechtman
IPC: G06T11/60
Abstract: One or more aspects of a method, apparatus, and non-transitory computer readable medium include obtaining an input latent vector for an image generation network and a target lighting representation. A modified latent vector is generated based on the input latent vector and the target lighting representation, and an image generation network generates an image based on the modified latent vector using.
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90.发明申请公开(公告)号：US20250054116A1
公开(公告)日：2025-02-13
申请号：US18929330
申请日：2024-10-28
Applicant: Adobe Inc.
Inventor： Haitian Zheng , Zhe Lin , Jingwan Lu , Scott Cohen , Elya Shechtman , Connelly Barnes , Jianming Zhang , Ning Xu , Sohrab Amirghodsi
IPC: G06T5/77 , G06T3/4046 , G06V10/40
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that generate inpainted digital images utilizing a cascaded modulation inpainting neural network. For example, the disclosed systems utilize a cascaded modulation inpainting neural network that includes cascaded modulation decoder layers. For example, in one or more decoder layers, the disclosed systems start with global code modulation that captures the global-range image structures followed by an additional modulation that refines the global predictions. Accordingly, in one or more implementations, the image inpainting system provides a mechanism to correct distorted local details. Furthermore, in one or more implementations, the image inpainting system leverages fast Fourier convolutions block within different resolution layers of the encoder architecture to expand the receptive field of the encoder and to allow the network encoder to better capture global structure.
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