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公开(公告)号：US11538140B2
公开(公告)日：2022-12-27
申请号：US17098055
申请日：2020-11-13
申请人： ADOBE INC.
摘要： Various disclosed embodiments are directed to inpainting one or more portions of a target image based on merging (or selecting) one or more portions of a warped image with (or from) one or more portions of an inpainting candidate (e.g., via a learning model). This, among other functionality described herein, resolves the inaccuracies of existing image inpainting technologies.
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公开(公告)号：US20240281577A1
公开(公告)日：2024-08-22
申请号：US18170735
申请日：2023-02-17
摘要： Discontinuity modeling techniques of computing functions of a program are described. In one example, a program has a computing function that includes a discontinuity. An input is received by the data modeling system that identifies an axis. A plurality of samples is then generated by the data modeling system along the axis based on an output of the program. The samples are then used as a basis by the data modeling system to generate a data model that models the discontinuity. The data model includes, in one example, one or more gradients and models the discontinuity using a 1D box kernel.
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公开(公告)号：US20230214967A1
公开(公告)日：2023-07-06
申请号：US18089218
申请日：2022-12-27
申请人： Adobe Inc.
CPC分类号： G06T5/005 , G06T5/50 , G06T3/0093 , G06N3/08 , G06T2207/10024 , G06T2207/20224 , G06T2207/20084 , G06T2207/20081 , G06T2207/20221
摘要： Various disclosed embodiments are directed to inpainting one or more portions of a target image based on merging (or selecting) one or more portions of a warped image with (or from) one or more portions of an inpainting candidate (e.g., via a learning model). This, among other functionality described herein, resolves the inaccuracies of existing image inpainting technologies.
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公开(公告)号：US20240331214A1
公开(公告)日：2024-10-03
申请号：US18610861
申请日：2024-03-20
申请人： ADOBE INC.
发明人： Yuqian Zhou , Elya Shechtman , Zhe Lin , Krishna Kumar Singh , Jingwan Lu , Connelly Stuart Barnes , Sohrab Amirghodsi
IPC分类号： G06T11/00 , G06T3/4046 , G06T5/30
CPC分类号： G06T11/00 , G06T3/4046 , G06T5/30 , G06T2200/24 , G06T2207/20084
摘要： Systems and methods for image processing (e.g., image extension or image uncropping) using neural networks are described. One or more aspects include obtaining an image (e.g., a source image, a user provided image, etc.) having an initial aspect ratio, and identifying a target aspect ratio (e.g., via user input) that is different from the initial aspect ratio. The image may be positioned in an image frame having the target aspect ratio, where the image frame includes an image region containing the image and one or more extended regions outside the boundaries of the image. An extended image may be generated (e.g., using a generative neural network), where the extended image includes the image in the image region as well as generated image portions in the extended regions and the one or more generated image portions comprise an extension of a scene element depicted in the image.
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公开(公告)号：US20220156893A1
公开(公告)日：2022-05-19
申请号：US17098055
申请日：2020-11-13
申请人： ADOBE INC.
摘要： Various disclosed embodiments are directed to inpainting one or more portions of a target image based on merging (or selecting) one or more portions of a warped image with (or from) one or more portions of an inpainting candidate (e.g., via a learning model). This, among other functionality described herein, resolves the inaccuracies of existing image inpainting technologies.
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公开(公告)号：US20240338869A1
公开(公告)日：2024-10-10
申请号：US18474536
申请日：2023-09-26
申请人： ADOBE INC.
发明人： Yuqian Zhou , Krishna Kumar Singh , Zhifei Zhang , Difan Liu , Zhe Lin , Jianming Zhang , Qing Liu , Jingwan Lu , Elya Shechtman , Sohrab Amirghodsi , Connelly Stuart Barnes
IPC分类号： G06T11/60
CPC分类号： G06T11/60
摘要： An image processing system obtains an input image (e.g., a user provided image, etc.) and a mask indicating an edit region of the image. A user selects an image editing mode for an image generation network from a plurality of image editing modes. The image generation network generates an output image using the input image, the mask, and the image editing mode.
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公开(公告)号：US20240169500A1
公开(公告)日：2024-05-23
申请号：US18058027
申请日：2022-11-22
申请人： ADOBE INC.
发明人： Haitian Zheng , Zhe Lin , Jianming Zhang , Connelly Stuart Barnes , Elya Shechtman , Jingwan Lu , Qing Liu , Sohrab Amirghodsi , Yuqian Zhou , Scott Cohen
IPC分类号： G06T5/00
CPC分类号： G06T5/005 , G06T5/003 , G06T2207/20081 , G06T2207/20104
摘要： Systems and methods for image processing are described. Embodiments of the present disclosure receive an image comprising a first region that includes content and a second region to be inpainted. Noise is then added to the image to obtain a noisy image, and a plurality of intermediate output images are generated based on the noisy image using a diffusion model trained using a perceptual loss. The intermediate output images predict a final output image based on a corresponding intermediate noise level of the diffusion model. The diffusion model then generates the final output image based on the intermediate output image. The final output image includes inpainted content in the second region that is consistent with the content in the first region.
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公开(公告)号：US11869173B2
公开(公告)日：2024-01-09
申请号：US18089218
申请日：2022-12-27
申请人： Adobe Inc.
CPC分类号： G06T5/005 , G06N3/08 , G06T3/0093 , G06T5/50 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/20224
摘要： Various disclosed embodiments are directed to inpainting one or more portions of a target image based on merging (or selecting) one or more portions of a warped image with (or from) one or more portions of an inpainting candidate (e.g., via a learning model). This, among other functionality described herein, resolves the inaccuracies of existing image inpainting technologies.
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