Adaptive image translation for painterly rendering
Kenji Hara, Kohei Inoue, Kiichi Urahama · 2005
In the paper, we present a new method of converting a photo image to a synthesized painting image following the painting style of an example painting image.�The proposed method uses a hierarchical and adaptive patch-based approach to both the synthesis of painting styles and preservation of scene details. � This approach can be summarized as follows.�The input photo image is represented as a set of patches divided adaptively using a distance transform technique.�Then the mapping between the input photo and example painting images is efficiently inferred using Bayesian belief propagation recursively. 1