Research And Implementation Of Photorealistic Rendering System Based On GPU Acceleration

Photorealistic rendering is a research hotspot in the area of computer graphics, computer vision and virtual reality, and has been widely applied in many fields such as entertainment, visual simulation, education, etc. The study achievement of photorealistic rendering algorithm has also contributed to the development of rendering system. Through study and modification of the rendering algorithms, the article has created a complete rendering system. The system makes full use of new GPU rendering pipeline, and has made great improvement in the authenticity and efficiency of rendering compared to the traditional rendering system.Regarding the research on rendering algorithm, the article proposed an ambient occlusion algorithm based on adaptive sampling, which mainly focused on solving the problem of blind sampling in traditional ambient occlusion algorithm by using the interpolated sampling light to calculate the occlusion rate, and converting the generation of interpolated sampling light into a subdivision issue. This algorithm reduces the computational complexity to a great degree and experiments show that the method could significantly improve the efficiency of ambient occlusion algorithm.As for the implementation of the rendering system, the article introduces the architecture and some core modules. Major adjustments have been made to the system architecture according to some features of the new generation GPU, using geometry instancing to reduce the rendering batch calls. The basic mathematical calculation and resource management optimization, as well as the application of KD-Tree in scene management have improved rendering efficiency of the system. The using of ambient occlusion map, depth of field effects of the camera and the support for multi-dynamic lights by deferred shading, successfully enhanced the sense of reality for the rendering system.In the end, the article set a number of representative scenarios and made a comprehensive assessment of the rendering effect and performance of the system.