Face sketch code#
Face sketch free#

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Chen, Local regression model for automatic face sketch generation, 2011. Yang, Real-time exemplar-based face sketch synthesis, 2014. Han, Face sketch synthesis via multivariate output regression, 2011. Ma, A nonlinear approach for face sketch synthesis and recognition, 2005. Saul, Nonlinear dimensionality reduction by locally linear embedding, Science, 290 (2000) 2323-2326. Wang, Face sketch synthesis and recognition, 2003. Wang, Face photo recognition using sketch, 2002. Experiments on three benchmark datasets demonstrate that compared with several state-of-the-arts, the proposed method achieves highly competitive numerical results and is more robust to illumination and expression variations. Besides, due to the global feature extraction of the convolutional layer, it achieves more continuous and faithful facial contours. Unlike conventional example-based methods which need to solve complex optimization problems, the proposed method only computes convolution and pooling operations, hence significantly improves the synthesis efficiency.

It builds a lightweight neural network which contains two convolutional layers, a pooling layer and a multilayer perceptron convolutional layer to learn a mapping from face photos to sketches. A novel deep learning method for face sketch synthesis is proposed in this work.

Face sketch free#

A modified convolutional neural network for face sketch synthesis is proposed.This method is free of complex optimization problems and pre/post-processing compared with existing methods.We examine the trade-off between the model and performance and in the limited case the proposed method degrades into a conventional CNN architecture.It improves the synthesis efficiency by one or two orders of magnitude and achieves highly competitive numerical results.The proposed method is more robust to inhospitable conditions and can be easily extended to RGB channels.