Novel accelerated Stochastic Progressive Photon Mapping rendering with neural network

Recently, deep learning-based approaches have led to dramatic improvements for Monte Carlo rendering at the low sampling rate. Most of these approaches are aimed at path tracing. However, they are not suitable for photon mapping. In this paper, we develop a novel accelerate stochastic progressive ph...

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Veröffentlicht in:	Journal of physics. Conference series 2021-04, Vol.1848 (1), p.12160
Hauptverfasser:	Xing, Qiwei, Chen, Chunyi, Li, Zhihua
Format:	Artikel
Sprache:	eng
Schlagworte:	Illumination Kernel functions Mapping Neural networks Noise reduction Photon density Photons Physics Rendering
Online-Zugang:	Volltext
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