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1.发明公开公开(公告)号：US20240046567A1
公开(公告)日：2024-02-08
申请号：US17817776
申请日：2022-08-05
Applicant: Adobe Inc.
Inventor： Siddhartha Chaudhuri , Bo Sun , Vladimir Kim , Noam Aigerman
CPC classification number: G06T17/20 , G06V10/22 , G06V10/754 , G06V2201/12
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed that utilizes machine learning models for patch retrieval and deformation in completing three-dimensional digital shapes. In particular, in one or more implementations the disclosed systems utilize a machine learning model to predict a coarse completion shape from an incomplete 3D digital shape. The disclosed systems sample coarse 3D patches from the coarse 3D digital shape and learn a shape distance function to retrieve detailed 3D shape patches in the input shape. Moreover, the disclosed systems learn a deformation for each retrieved patch and blending weights to integrate the retrieved patches into a continuous surface.
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2.发明公开公开(公告)号：US20230281925A1
公开(公告)日：2023-09-07
申请号：US17808808
申请日：2022-06-24
Applicant: Adobe Inc.
Inventor： Noam Aigerman , Kunal Gupta , Jun Saito , Thibault Groueix , Vladimir Kim , Siddhartha Chaudhuri
CPC classification number: G06T17/20 , G06T7/75 , G06T2207/20084 , G06T2207/20081
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating digital chain pull paintings in digital images. The disclosed system digitally animates a chain pull painting from a digital drawing path by determining a plurality of digital bead points along the digital drawing path. In response to a movement of one of the digital bead points from a first position to a second position (e.g., based on a pull input performed at a selected digital bead point), the disclosed system determines updated positions of one or more digital bead points along the path. The disclosed system also generates one or more strokes in the digital image from previous positions of the digital bead points to the updated positions of the digital bead points.
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公开(公告)号：US20220207749A1
公开(公告)日：2022-06-30
申请号：US17655226
申请日：2022-03-17
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Aaron Hertzmann , Mehmet Yumer
Abstract: The present disclosure includes methods and systems for identifying and manipulating a segment of a three-dimensional digital model based on soft classification of the three-dimensional digital model. In particular, one or more embodiments of the disclosed systems and methods identify a soft classification of a digital model and utilize the soft classification to tune segmentation algorithms. For example, the disclosed systems and methods can utilize a soft classification to select a segmentation algorithm from a plurality of segmentation algorithms, to combine segmentation parameters from a plurality of segmentation algorithms, and/or to identify input parameters for a segmentation algorithm. The disclosed systems and methods can utilize the tuned segmentation algorithms to accurately and efficiently identify a segment of a three-dimensional digital model.
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公开(公告)号：US10789754B2
公开(公告)日：2020-09-29
申请号：US16047839
申请日：2018-07-27
Applicant: Adobe Inc. , Czech Technical University in Prague
Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that use style-aware puppets patterned after a source-character-animation sequence to generate a target-character-animation sequence. In particular, the disclosed systems can generate style-aware puppets based on an animation character drawn or otherwise created (e.g., by an artist) for the source-character-animation sequence. The style-aware puppets can include, for instance, a character-deformational model, a skeletal-difference map, and a visual-texture representation of an animation character from a source-character-animation sequence. By using style-aware puppets, the disclosed systems can both preserve and transfer a detailed visual appearance and stylized motion of an animation character from a source-character-animation sequence to a target-character-animation sequence.
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公开(公告)号：US10769848B1
公开(公告)日：2020-09-08
申请号：US16421729
申请日：2019-05-24
Applicant: Adobe, Inc.
Inventor： Oliver Wang , Vladimir Kim , Matthew Fisher , Elya Shechtman , Chen-Hsuan Lin , Bryan Russell
Abstract: Techniques are disclosed for 3D object reconstruction using photometric mesh representations. A decoder is pretrained to transform points sampled from 2D patches of representative objects into 3D polygonal meshes. An image frame of the object is fed into an encoder to get an initial latent code vector. For each frame and camera pair from the sequence, a polygonal mesh is rendered at the given viewpoints. The mesh is optimized by creating a virtual viewpoint, rasterized to obtain a depth map. The 3D mesh projections are aligned by projecting the coordinates corresponding to the polygonal face vertices of the rasterized mesh to both selected viewpoints. The photometric error is determined from RGB pixel intensities sampled from both frames. Gradients from the photometric error are backpropagated into the vertices of the assigned polygonal indices by relating the barycentric coordinates of each image to update the latent code vector.
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Patent Agency Ranking
公开(公告)号：US20190228567A1
公开(公告)日：2019-07-25
申请号：US15877142
申请日：2018-01-22
Applicant: ADOBE INC.
Inventor： Jeong Joon Park , Zhili Chen , Xin Sun , Vladimir Kim , Kalyan Krishna Sunkavalli , Duygu Ceylan Aksit
Abstract: Matching an illumination of an embedded virtual object (VO) with current environment illumination conditions provides an enhanced immersive experience to a user. To match the VO and environment illuminations, illumination basis functions are determined based on preprocessing image data, captured as a first combination of intensities of direct illumination sources illuminates the environment. Each basis function corresponds to one of the direct illumination sources. During the capture of runtime image data, a second combination of intensities illuminates the environment. An illumination-weighting vector is determined based on the runtime image data. The determination of the weighting vector accounts for indirect illumination sources, such as surface reflections. The weighting vector encodes a superposition of the basis functions that corresponds to the second combination of intensities. The method illuminates the VO based on the weighting vector. The resulting illumination of the VO matches the second combination of the intensities and surface reflections.
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公开(公告)号：US11869132B2
公开(公告)日：2024-01-09
申请号：US17537343
申请日：2021-11-29
Applicant: Adobe Inc. , UCL Business Ltd.
Inventor： Vladimir Kim , Noam Aigerman , Niloy J. Mitra , Luca Morreale
Abstract: Certain aspects and features of this disclosure relate to neural network based 3D object surface mapping. In one example, a first representation of a first surface of a first 3D object and a second representation of a second surface of a second 3D object are produced. A surface mapping function is generated for mapping the first surface to the second surface. The surface mapping function is defined the representations and by a neural network model configured to map a first 2D representation of the first surface to a second 2D representation of the second surface. One or more features of the a first 3D mesh on the first surface can be applied to a second 3D mesh on the second surface using the surface mapping function to produce a modified second surface, which can be rendered through a user interface.
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公开(公告)号：US20230267686A1
公开(公告)日：2023-08-24
申请号：US17821704
申请日：2022-08-23
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Siddhartha Chaudhuri , Noam Aigerman , Hsueh-ti Liu , Alec Jacobson
CPC classification number: G06T17/20 , G06N3/08 , G06T7/13 , G06N3/02 , G06T2207/20081
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing one or more neural networks to recursively subdivide a three-dimensional mesh according to local geometries of vertices in the three-dimensional mesh. For example, the disclosed system can determine a local geometry (e.g., a one-ring neighborhood of half-flaps) for each vertex in a three-dimensional mesh. For each subdivision iteration, the disclosed system can then utilize a neural network to determine displacement coordinates for existing vertices in the three-dimensional mesh and coordinates for new vertices added to edges between the existing vertices in the three-dimensional mesh in accordance with the local geometries of the existing vertices. Furthermore, the disclosed system can generate a subdivided three-dimensional mesh based on the determined displacement coordinates for the existing vertices and the determined coordinates for the new vertices.
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公开(公告)号：US11423617B2
公开(公告)日：2022-08-23
申请号：US16863189
申请日：2020-04-30
Applicant: Adobe Inc.
Inventor： Vladimir Kim , Siddhartha Chaudhuri , Noam Aigerman , Hsueh-ti Liu , Alec Jacobson
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing one or more neural networks to recursively subdivide a three-dimensional mesh according to local geometries of vertices in the three-dimensional mesh. For example, the disclosed system can determine a local geometry (e.g., a one-ring neighborhood of half-flaps) for each vertex in a three-dimensional mesh. For each subdivision iteration, the disclosed system can then utilize a neural network to determine displacement coordinates for existing vertices in the three-dimensional mesh and coordinates for new vertices added to edges between the existing vertices in the three-dimensional mesh in accordance with the local geometries of the existing vertices. Furthermore, the disclosed system can generate a subdivided three-dimensional mesh based on the determined displacement coordinates for the existing vertices and the determined coordinates for the new vertices.
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公开(公告)号：US11315255B2
公开(公告)日：2022-04-26
申请号：US16907663
申请日：2020-06-22
Applicant: ADOBE INC.
Inventor： Vladimir Kim , Aaron Hertzmann , Mehmet Yumer
Abstract: The present disclosure includes methods and systems for identifying and manipulating a segment of a three-dimensional digital model based on soft classification of the three-dimensional digital model. In particular, one or more embodiments of the disclosed systems and methods identify a soft classification of a digital model and utilize the soft classification to tune segmentation algorithms. For example, the disclosed systems and methods can utilize a soft classification to select a segmentation algorithm from a plurality of segmentation algorithms, to combine segmentation parameters from a plurality of segmentation algorithms, and/or to identify input parameters for a segmentation algorithm. The disclosed systems and methods can utilize the tuned segmentation algorithms to accurately and efficiently identify a segment of a three-dimensional digital model.
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