Technology determines design in different phases of time, and must adapt to corresponding methods and media. With the continuous development of science and technology, traditional ceramic technology and culture faces on-going transformation and upgrade. Taking Chinese ink splash ceramics as an example, this paper attempts to apply the parametric algorithm, GAN (generative adversarial networks), and style transfer algorithm to the design of ceramic products. Furthermore, a human-machine collaborative ceramic design model is proposed under the participation of human and Artificial Intelligence (AI).
When asked the question, ‘what is the oldest art form in the world?’, most people think of ceramics. As designers, when we pursue the aesthetic value of ceramics, we should also understand the history and driving role technology played. If we avoid or ignore the fact that the beauty of ceramics is (and always has been) aided by technology, then any interpretation will not be based on correct foundations.
With the increasing market demand for ceramic art and the emergence of computer aided design methods, many artists and designers use the computer to model and render the design on a screen before making work. Compared with direct production, this method greatly improves predictability. But this method is still top-down, the grasp of the shape and decision-making are still required to be in the designer’s mind, with hand-painted sketches. This has created a high demand for the designer’s space modeling imagination
