Abstract
Logo design is a complex process for designers and color plays a very important role in logo design. The automatic colorization of logo sketch is of great value and full of challenges. In this paper, we propose a new logo design method based on Conditional Generative Adversarial Networks, which can output multiple colorful logos only by providing one logo sketch. We improve the traditional U-Net structure, adding channel attention and spatial attention in the process of skip-connection. In addition, the generator consists of parallel attention-based U-Net blocks, which can output multiple logo images. During the model optimization process, a style loss function is proposed to improve the color diversity of the logos. We evaluate our method on the self-built edges2logos dataset and the public edges2shoes dataset. Experimental results show that our method can generate more colorful and realistic logo images based on simple sketches. Compared to the classic networks, the logos generated by our network are also superior in visual effects.
Highlights
The development and application of machine learning have gradually brought many conveniences to designers
Convolutional block attention module (CBAM) can be embedded into most of the current mainstream networks to improve the feature extraction capability of the network model without significantly increasing the amount of computation and parameters
We screened the original data and selected about 2600 high quality logo images according to our specific guidelines
Summary
The development and application of machine learning have gradually brought many conveniences to designers. Some basic materials still need to be designed manually, such as icons or logos. The automatic design of the logo is full of challenges. If machine learning can assist designers in designing, it will greatly improve design efficiency and generate higher application value. The colorization of the logo sketch is a skill that designers must master. A good designer usually needs to have a very good sense of color in order to coordinate the sketch outline and color. Different colors will bring people different visual feelings and psychological experience. It is desired to create an artificial intelligence designer who can perceive colors from training data and automatically paint harmonious and unified colors on the logo sketch
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