Invention Application
- Patent Title: RENDERING DIGITAL VIRTUAL ENVIRONMENTS UTILIZING FULL PATH SPACE LEARNING
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Application No.: US15277519Application Date: 2016-09-27
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Publication No.: US20180089894A1Publication Date: 2018-03-29
- Inventor: Xin Sun , Nathan Carr , Hao Qin
- Applicant: Adobe Systems Incorporated
- Main IPC: G06T19/00
- IPC: G06T19/00 ; H04N5/235 ; G06T7/00

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.
Public/Granted literature
- US10062214B2 Rendering digital virtual environments utilizing full path space learning Public/Granted day:2018-08-28
Information query