StyleGAN-based Sketch Generation Method for Product Design Renderings

DENG Zheng-gen, LYU Jian, LIU Xiang, HOU Yu-kang, WANG Shuai

Packaging Engineering ›› 2023, Vol. 44 ›› Issue (6) : 188-195.

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Packaging Engineering ›› 2023, Vol. 44 ›› Issue (6) : 188-195. DOI: 10.19554/j.cnki.1001-3563.2023.06.020

StyleGAN-based Sketch Generation Method for Product Design Renderings

  • DENG Zheng-gen1, LYU Jian1, LIU Xiang1, HOU Yu-kang1, WANG Shuai2
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Abstract

The work aims to solve the current problems of high requirements for designers, limited design thinking and long design cycles in product design expression. A method for fast generation of product renderings from sketches based on StyleGAN was proposed. The image deformation techniques was adopted to generate real product renderings from product sketches of different degrees. The method can effectively meet the creative needs of designers and generate high-quality product design solutions for users who have no basic drawing skills. Applying the StyleGAN model based on deep learning in sketches to generate real product renderings can quickly and efficiently complete the product design expression process. It provides a reference framework based on deep learning technology for product design expression and is an innovative exploration of traditional product design in the era of artificial intelligence.

Key words

product design; hand sketching; image morphing technology; automotive styling; StyleGAN

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DENG Zheng-gen, LYU Jian, LIU Xiang, HOU Yu-kang, WANG Shuai. StyleGAN-based Sketch Generation Method for Product Design Renderings[J]. Packaging Engineering. 2023, 44(6): 188-195 https://doi.org/10.19554/j.cnki.1001-3563.2023.06.020
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