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公开(公告)号：US20240338915A1
公开(公告)日：2024-10-10
申请号：US18132272
申请日：2023-04-07
Applicant: Adobe Inc.
Inventor： Zhixin Shu , Zexiang Xu , Shahrukh Athar , Sai Bi , Kalyan Sunkavalli , Fujun Luan
CPC classification number: G06T19/20 , G06N3/08 , G06T15/80 , G06T17/20 , G06T2210/44 , G06T2219/2012 , G06T2219/2021
Abstract: Certain aspects and features of this disclosure relate to providing a controllable, dynamic appearance for neural 3D portraits. For example, a method involves projecting a color at points in a digital video portrait based on location, surface normal, and viewing direction for each respective point in a canonical space. The method also involves projecting, using the color, dynamic face normals for the points as changing according to an articulated head pose and facial expression in the digital video portrait. The method further involves disentangling, based on the dynamic face normals, a facial appearance in the digital video portrait into intrinsic components in the canonical space. The method additionally involves storing and/or rendering at least a portion of a head pose as a controllable, neural 3D portrait based on the digital video portrait using the intrinsic components.
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公开(公告)号：US20250104349A1
公开(公告)日：2025-03-27
申请号：US18894176
申请日：2024-09-24
Applicant: ADOBE INC.
Inventor： Sai Bi , Jiahao Li , Hao Tan , Kai Zhang , Zexiang Xu , Fujun Luan , Yinghao Xu , Yicong Hong , Kalyan K. Sunkavalli
Abstract: A method, apparatus, non-transitory computer readable medium, and system for 3D model generation include obtaining a plurality of input images depicting an object and a set of 3D position embeddings, where each of the plurality of input images depicts the object from a different perspective, encoding the plurality of input images to obtain a plurality of 2D features corresponding to the plurality of input images, respectively, generating 3D features based on the plurality of 2D features and the set of 3D position embeddings, and generating a 3D model of the object based on the 3D features.
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3.发明申请公开(公告)号：US20220343522A1
公开(公告)日：2022-10-27
申请号：US17233122
申请日：2021-04-16
Applicant: ADOBE INC.
Inventor： Sai Bi , Zexiang Xu , Kalyan Krishna Sunkavalli , David Jay Kriegman , Ravi Ramamoorthi
IPC: G06T7/514 , G06T17/20 , H04N13/111 , H04N13/128 , H04N13/282
Abstract: Enhanced methods and systems for generating both a geometry model and an optical-reflectance model (an object reconstruction model) for a physical object, based on a sparse set of images of the object under a sparse set of viewpoints. The geometry model is a mesh model that includes a set of vertices representing the object's surface. The reflectance model is SVBRDF that is parameterized via multiple channels (e.g., diffuse albedo, surface-roughness, specular albedo, and surface-normals). For each vertex of the geometry model, the reflectance model includes a value for each of the multiple channels. The object reconstruction model is employed to render graphical representations of a virtualized object (a VO based on the physical object) within a computation-based (e.g., a virtual or immersive) environment. Via the reconstruction model, the VO may be rendered from arbitrary viewpoints and under arbitrary lighting conditions.
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公开(公告)号：US20220335636A1
公开(公告)日：2022-10-20
申请号：US17231833
申请日：2021-04-15
Applicant: ADOBE INC.
Inventor： Sai Bi , Zexiang Xu , Kalyan Krishna Sunkavalli , Milos Hasan , Yannick Hold-Geoffroy , David Jay Kriegman , Ravi Ramamoorthi
Abstract: A scene reconstruction system renders images of a scene with high-quality geometry and appearance and supports view synthesis, relighting, and scene editing. Given a set of input images of a scene, the scene reconstruction system trains a network to learn a volume representation of the scene that includes separate geometry and reflectance parameters. Using the volume representation, the scene reconstruction system can render images of the scene under arbitrary viewing (view synthesis) and lighting (relighting) locations. Additionally, the scene reconstruction system can render images that change the reflectance of objects in the scene (scene editing).
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公开(公告)号：US12211138B2
公开(公告)日：2025-01-28
申请号：US18065456
申请日：2022-12-13
Applicant: Adobe Inc.
Inventor： Zhengfei Kuang , Fujun Luan , Sai Bi , Zhixin Shu , Kalyan K. Sunkavalli
Abstract: Embodiments of the present disclosure provide systems, methods, and computer storage media for generating editable synthesized views of scenes by inputting image rays into neural networks using neural basis decomposition. In embodiments, a set of input images of a scene depicting at least one object are collected and used to generate a plurality of rays of the scene. The rays each correspond to three-dimensional coordinates and viewing angles taken from the images. A volume density of the scene is determined by inputting the three-dimensional coordinates from the neural radiance fields into a first neural network to generate a 3D geometric representation of the object. An appearance decomposition is produced by inputting the three-dimensional coordinates and the viewing angles of the rays into a second neural network.
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Patent Agency Ranking
公开(公告)号：US20240013477A1
公开(公告)日：2024-01-11
申请号：US17861199
申请日：2022-07-09
Applicant: Adobe Inc.
Inventor： Zexiang Xu , Zhixin Shu , Sai Bi , Qiangeng Xu , Kalyan Sunkavalli , Julien Philip
CPC classification number: G06T15/205 , G06T15/80 , G06T15/06 , G06T2207/10028
Abstract: A scene modeling system receives a plurality of input two-dimensional (2D) images corresponding to a plurality of views of an object and a request to display a three-dimensional (3D) scene that includes the object. The scene modeling system generates an output 2D image for a view of the 3D scene by applying a scene representation model to the input 2D images. The scene representation model includes a point cloud generation model configured to generate, based on the input 2D images, a neural point cloud representing the 3D scene. The scene representation model includes a neural point volume rendering model configured to determine, for each pixel of the output image and using the neural point cloud and a volume rendering process, a color value. The scene modeling system transmits, responsive to the request, the output 2D image. Each pixel of the output image includes the respective determined color value.
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7.发明公开公开(公告)号：US20230360327A1
公开(公告)日：2023-11-09
申请号：US17661878
申请日：2022-05-03
Applicant: Adobe Inc.
Inventor： Sai Bi , Yang Liu , Zexiang Xu , Fujun Luan , Kalyan Sunkavalli
CPC classification number: G06T17/205 , G06T13/20 , G06T2210/21
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that generate three-dimensional hybrid mesh-volumetric representations for digital objects. For instance, in one or more embodiments, the disclosed systems generate a mesh for a digital object from a plurality of digital images that portray the digital object using a multi-view stereo model. Additionally, the disclosed systems determine a set of sample points for a thin volume around the mesh. Using a neural network, the disclosed systems further generate a three-dimensional hybrid mesh-volumetric representation for the digital object utilizing the set of sample points for the thin volume and the mesh.
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8.发明授权公开(公告)号：US12254570B2
公开(公告)日：2025-03-18
申请号：US17661878
申请日：2022-05-03
Applicant: Adobe Inc.
Inventor： Sai Bi , Yang Liu , Zexiang Xu , Fujun Luan , Kalyan Sunkavalli
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that generate three-dimensional hybrid mesh-volumetric representations for digital objects. For instance, in one or more embodiments, the disclosed systems generate a mesh for a digital object from a plurality of digital images that portray the digital object using a multi-view stereo model. Additionally, the disclosed systems determine a set of sample points for a thin volume around the mesh. Using a neural network, the disclosed systems further generate a three-dimensional hybrid mesh-volumetric representation for the digital object utilizing the set of sample points for the thin volume and the mesh.
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公开(公告)号：US12211225B2
公开(公告)日：2025-01-28
申请号：US17231833
申请日：2021-04-15
Applicant: ADOBE INC.
Inventor： Sai Bi , Zexiang Xu , Kalyan Krishna Sunkavalli , Miloš Hašan , Yannick Hold-Geoffroy , David Jay Kriegman , Ravi Ramamoorthi
Abstract: A scene reconstruction system renders images of a scene with high-quality geometry and appearance and supports view synthesis, relighting, and scene editing. Given a set of input images of a scene, the scene reconstruction system trains a network to learn a volume representation of the scene that includes separate geometry and reflectance parameters. Using the volume representation, the scene reconstruction system can render images of the scene under arbitrary viewing (view synthesis) and lighting (relighting) locations. Additionally, the scene reconstruction system can render images that change the reflectance of objects in the scene (scene editing).
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公开(公告)号：US20240404181A1
公开(公告)日：2024-12-05
申请号：US18799247
申请日：2024-08-09
Applicant: Adobe Inc.
Inventor： Zexiang Xu , Zhixin Shu , Sai Bi , Qiangeng Xu , Kalyan Sunkavalli , Julien Philip
Abstract: A scene modeling system receives a plurality of input two-dimensional (2D) images corresponding to a plurality of views of an object and a request to display a three-dimensional (3D) scene that includes the object. The scene modeling system generates an output 2D image for a view of the 3D scene by applying a scene representation model to the input 2D images. The scene representation model includes a point cloud generation model configured to generate, based on the input 2D images, a neural point cloud representing the 3D scene. The scene representation model includes a neural point volume rendering model configured to determine, for each pixel of the output image and using the neural point cloud and a volume rendering process, a color value. The scene modeling system transmits, responsive to the request, the output 2D image. Each pixel of the output image includes the respective determined color value.
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