A real-time illumination rendering algorithm based on a deep learning network

Abstract

The invention discloses a real-time rendering algorithm under a global illumination condition based on a deep learning network. The real-time rendering algorithm comprises a training stage and an operation stage. The training stage comprises the following steps: S1, determining a generator network structure; S2, determining a discriminator network structure; S3, collecting sample data; S4, neuralnetwork training; the process of the operation stage is as follows: the rendering cache is used as an input sample to be input into a generator network to obtain an output result, and then pixel coloring is performed on the output result to generate a rendering result under the global illumination condition, so that the traditional complex rendering calculation is replaced, and real-time renderingis realized. The confrontation neural network training is carried out on the multiple rendering caches and the photon mapping result under the same visual angle, the network output result is used asthe illumination prompt in pixel coloring under the global illumination condition including direct illumination and indirect illumination, and the final result of the confrontation network training ismore accurate and effective.

Description

technical field [0001] The invention relates to the technical field of real-time lighting rendering algorithms, in particular to a real-time lighting rendering algorithm based on a deep learning network. Background technique [0002] Some existing methods that can realize real-time global illumination rendering mainly include ray-tracing-based rendering methods, physically-based rendering methods, and data-driven rendering algorithms. The basic idea of ​​​​realizing global illumination is to calculate the bounce of light on the surface of the scene based on physical and geometric structures. Ray tracing is implemented by casting light to each pixel in the line of sight direction, and each pixel sampling can achieve indirect lighting according to the collision of the light with the surface and the bounce result of the light after the collision. The later photon mapping method is the inverse process of ray tracing, by tracing the light reflected by the light source to collect...

AI Technical Summary

Problems solved by technology

The advantage of data-driven methods is that global information can be generated in the short term, but detailed information cannot be accurately obtained

Traditional rasterized rendering methods can be used to produce accurate results, but cannot approximate global information

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