Abstract:
Due to the vigorous development of artificial intelligence, robots has moved into our lives. In order to let the robot paint more closely to our ordinary people's paintin...View moreMetadata
Abstract:
Due to the vigorous development of artificial intelligence, robots has moved into our lives. In order to let the robot paint more closely to our ordinary people's paintings, this paper presents an accurate, fast and robust algorithm by using the Convolution Neural Networks for making facial line-drawings. We first improve the SFLG (Sketchy Facial Line-drawing Generation) networks, and then design a FLG (Facial Line-drawing Generation) networks. The FLG uses complete convolution and deconvolution that can generate images by end-to-end. Moreover, the FLG has no requirement to the size of the input image. Experimental results have illustrated the stableness and accuracy of proposed FLG networks. The accuracy rate of FLG networks is over 95% and it is 7% higher than SFLG networks.
Date of Conference: 20-24 August 2018
Date Added to IEEE Xplore: 29 November 2018
ISBN Information:
Print on Demand(PoD) ISSN: 1051-4651