4th International E-Conference on Engineering, Technology and Management - ICETM 2021
Author(s) : Hsin-Yu Chen, Kan-Lin Hsiung
Using a neural network to generate strokes has several advantages. The neural renderer  is flexible to generate any styles of strokes and it is more efficient on GPUâ€™s than most hand-crafted stroke simulators. In addition, the neural renderer is differentiable and enables end-to-end training which boosts the performance of the agent. The neural renderer is a neural network consisting of several fully connected layers and convolution layers. Sub-pixel upsampling  is used to increase the resolution of strokes in the network, which is a fast running operation and can eliminate the checkerboard effect. Virtual brush is a model-based approach to synthesizing realistically Chinese calligraphy writing. In this brief, the neural renderer for the virtual brush designed in  is proposed.