Research on a high-precision virtual scene generation algorithm

With the rapid development of VR technology, the accuracy of virtual scene construction has also increased. This article proposes a high-precision virtual scene generation algorithm. On the basis of reducing the low data utilization during the modeling process, we cleverly use programmatic methods to generate the accuracy values of the building. At the same time, the building facade is processed as block units, and the model texture details are fed back to the block units through neural network learning algorithms. Using target detection algorithms for target recognition and related optimization to improve the accuracy of object layout within the model and seek the optimal layout solution. Finally, combined with VR rapid generation technology, the model is transformed into components in the virtual scene, and the virtual scene is constructed using the design of three parts: existing scenes, cross end collaboration, and roaming display in the original model library. The results show that the finished product displayed to users using this algorithm has a higher degree of restoration.