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公开(公告)号：US12094054B2
公开(公告)日：2024-09-17
申请号：US17639967
申请日：2020-05-04
Applicant: GOOGLE LLC
Inventor： Yun-Ta Tsai , Xiuming Zhang , Jonathan T. Barron , Sean Fanello , Tiancheng Sun , Tianfan Xue
CPC classification number: G06T15/506 , G06N3/084 , G06T15/04 , G06T15/205 , G06T2200/04 , G06T2200/08 , G06T2200/24
Abstract: Examples relate to implementations of a neural light transport. A computing system may obtain data indicative of a plurality of UV texture maps and a geometry of an object. Each UV texture map depicts the object from a perspective of a plurality of perspectives. The computing system may train a neural network to learn a light transport function using the data. The light transport function may be a continuous function that specifies how light interacts with the object when the object is viewed from the plurality of perspectives. The computing system may generate an output UV texture map that depicts the object from a synthesized perspective based on an application of the light transport function by the trained neural network.
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公开(公告)号：US11589031B2
公开(公告)日：2023-02-21
申请号：US16580802
申请日：2019-09-24
Applicant: Google LLC
Inventor： Sameh Khamis , Yinda Zhang , Christoph Rhemann , Julien Valentin , Adarsh Kowdle , Vladimir Tankovich , Michael Schoenberg , Shahram Izadi , Thomas Funkhouser , Sean Fanello
IPC: H04N13/271 , G06T7/90 , G06T7/521 , H04N5/33 , H04N13/239
Abstract: An electronic device estimates a depth map of an environment based on matching reduced-resolution stereo depth images captured by depth cameras to generate a coarse disparity (depth) map. The electronic device downsamples depth images captured by the depth cameras and matches sections of the reduced-resolution images to each other to generate a coarse depth map. The electronic device upsamples the coarse depth map to a higher resolution and refines the upsampled depth map to generate a high-resolution depth map to support location-based functionality.
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