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1.发明授权公开(公告)号：US11257298B2
公开(公告)日：2022-02-22
申请号：US16822819
申请日：2020-03-18
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Pierre-alain Langlois , Oliver Wang , Matthew Fisher , Bryan Russell
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for reconstructing three-dimensional meshes from two-dimensional images of objects with automatic coordinate system alignment. For example, the disclosed system can generate feature vectors for a plurality of images having different views of an object. The disclosed system can process the feature vectors to generate coordinate-aligned feature vectors aligned with a coordinate system associated with an image. The disclosed system can generate a combined feature vector from the feature vectors aligned to the coordinate system. Additionally, the disclosed system can then generate a three-dimensional mesh representing the object from the combined feature vector.
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2.发明申请公开(公告)号：US20210295606A1
公开(公告)日：2021-09-23
申请号：US16822819
申请日：2020-03-18
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Pierre-alain Langlois , Oliver Wang , Matthew Fisher , Bryan Russell
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for reconstructing three-dimensional meshes from two-dimensional images of objects with automatic coordinate system alignment. For example, the disclosed system can generate feature vectors for a plurality of images having different views of an object. The disclosed system can process the feature vectors to generate coordinate-aligned feature vectors aligned with a coordinate system associated with an image. The disclosed system can generate a combined feature vector from the feature vectors aligned to the coordinate system. Additionally, the disclosed system can then generate a three-dimensional mesh representing the object from the combined feature vector.
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公开(公告)号：US10937237B1
公开(公告)日：2021-03-02
申请号：US16816080
申请日：2020-03-11
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Pierre-alain Langlois , Matthew Fisher , Bryan Russell , Oliver Wang
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for reconstructing three-dimensional object meshes from two-dimensional images of objects using multi-view cycle projection. For example, the disclosed system can determine a multi-view cycle projection loss across a plurality of images of an object via an estimated three-dimensional object mesh of the object. For example, the disclosed system uses a pixel mapping neural network to project a sampled pixel location across a plurality of images of an object and via a three-dimensional mesh representing the object. The disclosed system determines a multi-view cycle consistency loss based on a difference between the sampled pixel location and a cycle projection of the sampled pixel location and uses the loss to update the pixel mapping neural network, a latent vector representing the object, or a shape generation neural network that uses the latent vector to generate the object mesh.
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