Texture Generation Design of Panel Furniture Based on Deep Learning
At present,the intelligent aided design method is widely used in the design field,which can not only improve the design efficiency,shorten the product life cycle,but also overcome the limitations of the designer's subjective cognition.A novel texture generation method based on DCGAN(Deep Convolution generative Adversarial)model was proposed by introducing deep learning to assist the design of panel furniture products.By importing veneer paper textures into the model system,texture features can be automatically learned from large-scale texture data sets to generate diverse texture patterns.DCGAN technology is used to iterate the surface texture to expand ideas and possibilities for the innovative design of panel furniture products.
Deep LearningDCGANTexture GenerationPanel Furniture
NETL
NSTL
万方数据
