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公开(公告)号：US20180197327A1
公开(公告)日：2018-07-12
申请号：US15403903
申请日：2017-01-11
Applicant: Adobe Systems Incorporated
Inventor： Xin Sun , Weilun Sun , Nathan Aaron Carr
CPC classification number: G06T15/506 , G06T15/06
Abstract: Techniques and systems are described that support light path correlation in digital image rendering of a digital scene. In one example, a plurality of light paths between a light source and the digital image to be rendered of a digital scene are identified by a computing device. Each light path of the plurality of light paths includes a primary vertex and a secondary vertex between respective segments of the light path. A plurality of correlated samples is then generated by the computing device from the light paths. Each correlated sample of the plurality of correlated samples is based at least in part on similarity of the secondary vertex of respective said light paths to each other, e.g., on location, geometric normal, or surface material properties. The digital image of the digital scene is then rendered by the computing device based at least in part on the plurality of correlated samples.
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公开(公告)号：US20180089894A1
公开(公告)日：2018-03-29
申请号：US15277519
申请日：2016-09-27
Applicant: Adobe Systems Incorporated
Inventor： Xin Sun , Nathan Carr , Hao Qin
CPC classification number: G06T19/006 , G06T7/004 , G06T7/0087 , G06T7/143 , G06T7/70 , G06T15/06 , G06T2207/20076 , G06T2207/30244 , H04N5/2351
Abstract: The present disclosure includes methods and systems for rendering digital images of a virtual environment utilizing full path space learning. In particular, one or more embodiments of the disclosed systems and methods estimate a global light transport function based on sampled paths within a virtual environment. Moreover, in one or more embodiments, the disclosed systems and methods utilize the global light transport function to sample additional paths. Accordingly, the disclosed systems and methods can iteratively update an estimated global light transport function and utilize the estimated global light transport function to focus path sampling on regions of a virtual environment most likely to impact rendering a digital image of the virtual environment from a particular camera perspective.
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公开(公告)号：US20180315251A1
公开(公告)日：2018-11-01
申请号：US16029205
申请日：2018-07-06
Applicant: Adobe Systems Incorporated
Inventor： Xin Sun , Nathan Carr , Hao Qin
CPC classification number: G06T19/006 , G06T7/004 , G06T7/0087 , G06T7/143 , G06T7/70 , G06T15/06 , G06T2207/20076 , G06T2207/30244 , H04N5/2351
Abstract: The present disclosure includes methods and systems for rendering digital images of a virtual environment utilizing full path space learning. In particular, one or more embodiments of the disclosed systems and methods estimate a global light transport function based on sampled paths within a virtual environment. Moreover, in one or more embodiments, the disclosed systems and methods utilize the global light transport function to sample additional paths. Accordingly, the disclosed systems and methods can iteratively update an estimated global light transport function and utilize the estimated global light transport function to focus path sampling on regions of a virtual environment most likely to impact rendering a digital image of the virtual environment from a particular camera perspective.
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公开(公告)号：US10062214B2
公开(公告)日：2018-08-28
申请号：US15277519
申请日：2016-09-27
Applicant: Adobe Systems Incorporated
Inventor： Xin Sun , Nathan Carr , Hao Qin
CPC classification number: G06T19/006 , G06N7/005 , G06T7/143 , G06T7/50 , G06T7/70 , G06T7/80 , G06T15/06 , G06T2207/20076 , G06T2207/30244 , H04N5/2351
Abstract: The present disclosure includes methods and systems for rendering digital images of a virtual environment utilizing full path space learning. In particular, one or more embodiments of the disclosed systems and methods estimate a global light transport function based on sampled paths within a virtual environment. Moreover, in one or more embodiments, the disclosed systems and methods utilize the global light transport function to sample additional paths. Accordingly, the disclosed systems and methods can iteratively update an estimated global light transport function and utilize the estimated global light transport function to focus path sampling on regions of a virtual environment most likely to impact rendering a digital image of the virtual environment from a particular camera perspective.
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