Lightweight Processing Method for 3D Models Based on Depthwise Separable Convolution
3D model lightweight processing method refers to the technical means to optimize the processing of 3D models to reduce the storage space and computational resources they occupy,so as to improve the processing speed and system performance.In practical applications,since 3D models contain a large amount of data such as vertices,facets and textures,it is necessary to use 3D model lightweighting techniques to reduce the amount of data in order to better adapt to a variety of scenarios and needs.Therefore,a 3D model lightweight processing method based on depthwise separable convolution is proposed to significantly reduce the number of parameters and computational complexity in the model.This method is of great significance for improving processing efficiency and optimizing system performance.
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