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THE OPTICAL ANALYSIS OF THE IMAGE PLANE BY THE EXERTED FORCE ON A LENS

Published In: 4TH INTERNATIONAL E-CONFERENCE ON ENGINEERING, TECHNOLOGY AND MANAGEMENT
Author(s): SOMYING THAINIMIT , HSIN-YU CHEN

Abstract: Using a neural network to generate strokes has several advantages. The neural renderer [3] is flexible to generate any styles of strokes and it is more efficient on GPU’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 [1] 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 [2] is proposed.

  • Publication Date: 24-Jan-2021
  • DOI: 10.15224/978-1-63248-191-7-11
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ON NEURAL RENDERING OF VIRTUAL BRUSH FOR CHINESE CALLIGRAPHY

Published In: 4TH INTERNATIONAL E-CONFERENCE ON ENGINEERING, TECHNOLOGY AND MANAGEMENT
Author(s): HSIN-YU CHEN , KAN-LIN HSIUNG

Abstract: Using a neural network to generate strokes has several advantages. The neural renderer [3] is flexible to generate any styles of strokes and it is more efficient on GPU’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.

  • Publication Date: 24-Jan-2021
  • DOI: 10.15224/978-1-63248-191-7-12
  • Views: 0
  • Downloads: 0