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A photon mapping rendering method and system based on neural network

A neural network and photon mapping technology, applied in the field of neural network-based photon mapping rendering methods and systems

Active Publication Date: 2019-03-22
PEKING UNIV
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Problems solved by technology

However, the core problem of progressive photon mapping is that each rendered image requires thousands or more iterations (that is, thousands of photon tracing steps) before obtaining a high-quality rendering image.

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  • A photon mapping rendering method and system based on neural network
  • A photon mapping rendering method and system based on neural network
  • A photon mapping rendering method and system based on neural network

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Embodiment Construction

[0034] The present invention will be described in further detail below through specific embodiments and accompanying drawings.

[0035] The invention designs a neural network applied to the problem of photon mapping rendering synthesis. The key issues involved in solving the theory and method of photon mapping through neural networks are as follows: First, the problem of photon mapping synthesis belongs to dense prediction (dense prediction) problem, which does not require batch normalization layer (Batch Normalization, BN) ; The second is that the photon mapping synthesis problem needs to solve the noise caused by too small radius, and the blur problem caused by too large radius; the third is that the photon mapping synthesis problem is suitable for using a fully convolutional neural network, because this problem is related to the surrounding pixels The value of is more relevant and less sensitive to global information.

[0036] 1. The input data set of the neural network

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Abstract

The invention relates to a photon mapping rendering method and a system based on a neural network. The method comprises the following steps: 1) adopting a photon mapping method to generate k color effect images with different rendering quality; 2) inputting a plurality of training set composed of k color effect images with different rendering quality into a neural network for training to obtain aneural network model; 3) synthesizing a global lighting render image based on that neural network model. Compared with the existing progressive photon mapping method, the invention requires only the intermediate rough results produced by several iterative photon mappings, The neural network proposed by the invention can be used to infer the rendering result of synthesizing the convergence of the progressive photon mapping, thereby solving the problem that the traditional progressive photon mapping method needs a large number of iterations which are very time-consuming to generate a more idealrendering result.

Description

technical field [0001] The invention belongs to the technical field of computer graphics, and in particular relates to a neural network-based photon mapping rendering method and system. Background technique [0002] Global illumination image generation is an important field of computer graphics. The key is how to add more realistic lighting effects to 3D scenes. The photon mapping algorithm is a classic global illumination algorithm in computer graphics, which can draw more realistic caustics and other phenomena, but a serious disadvantage is that the required drawing time is very long. [0003] In the traditional highly realistic global illumination calculation and rendering methods, the photon mapping method is one of the representative methods. Progressive photon mapping (Hachisuka, T., Ogaki, S., and Jensen, H.W. Progressive photon mapping. ACM Transactions on Graphics (TOG) 27, 5 (2008), 130.) is the most mainstream solution for photon mapping methods at present. fra...

Claims

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Application Information

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IPC IPC(8): G06T15/50G06T15/04
CPCG06T15/04G06T15/506G06T2207/20081G06T2207/20084Y02D10/00
Inventor 林泽辉李胜汪国平
Owner PEKING UNIV
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