基于深度学习的板式家具纹理生成设计

Texture Generation Design of Panel Furniture Based on Deep Learning

目前智能辅助设计的方法被广泛应用于设计领域,它不仅可以提高设计效率,缩短产品生命周期,还能克服设计者主观认识的局限性。通过引入深度学习的方法来辅助板式家具产品设计,提出了一种基于DCGAN(深度卷积生成对抗)模型的新型纹理生成方法。将饰面纸纹理导入模型系统,可以自动从大规模的纹理数据集中学习纹理特征,生成多样性的纹理图案。利用DCGAN技术迭代出的饰面纹理为板式家具产品创新设计方案拓展思路和可能性。

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.