  We propose a novel style transfer method to quickly create a new visual
product with a nice appearance for industrial designers' reference. Given a
source product, a target product, and an art style image, our method produces a
neural warping field that warps the source shape to imitate the geometric style
of the target and a neural texture transformation network that transfers the
artistic style to the warped source product. Our model, Industrial Style
Transfer (InST), consists of large-scale geometric warping (LGW) and
interest-consistency texture transfer (ICTT). LGW aims to explore an
unsupervised transformation between the shape masks of the source and target
products for fitting large-scale shape warping. Furthermore, we introduce a
mask smoothness regularization term to prevent the abrupt changes of the
details of the source product. ICTT introduces an interest regularization term
to maintain important contents of the warped product when it is stylized by
using the art style image. Extensive experimental results demonstrate that InST
achieves state-of-the-art performance on multiple visual product design tasks,
e.g., companies' snail logos and classical bottles (please see Fig. 1). To the
best of our knowledge, we are the first to extend the neural style transfer
method to create industrial product appearances. Project page:
\ulr{https://jcyang98.github.io/InST/home.html}. Code available at:
\url{https://github.com/jcyang98/InST}.
