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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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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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