Deep Convolution Neural Networks for Painting-like 3D Rendering

Zhi Yang

doi:https://doi.org/10.36463/idw.2019.0032

5:50 PM - 6:10 PM

[AIS2-3] Deep Convolution Neural Networks for Painting-like 3D Rendering

*Zhi Yang¹, Pei-Li Sun¹, Tzung-Han Lin¹ (1. National Taiwan University of Science and Technology (Taiwan))

Deep learning, Non-photorealistic rendering, Computer graphics

https://doi.org/10.36463/idw.2019.0032

A 3D rendering model which uses deep convolutional neural networks to imitate 2D painting style is proposed. User can feed the networks with simple paintings of specific objects to render images of 3D objects with any orientations in accordance with the painting style.

Proceedings of the International Display Workshops Volume 26 (IDW '19)

[AIS2-3] Deep Convolution Neural Networks for Painting-like 3D Rendering