Parallel Style-aware Image Cloning for Artworks
IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Society, 2015, 21(2): 229-240.
Yandan Zhao, Xiaogang Jin, Yingqing Xu, Hanli Zhao, Meng Ai, Kun Zhou
(a) Inputs;
(b) our result.
Given some objects (a girl and a wolf) and a pastel landscape drawing,
our method creates a scene of Little Red Riding Hood by seamlessly
integrating the objects into the given artwork.
Abstract
We present style-aware image cloning, a novel
image editing approach for artworks, which allows users to seamlessly
insert any photorealistic or artificial objects into an artwork to
create a new image that shares the same artistic style with the original
artwork. To this end, a real-time image transfer algorithm is developed
to stylize the cloned object according to a distance metric based on the
artistic styles and semantic information. Several interactive functions,
such as layering, shadowing, semantic labeling, and direction field
editing, are provided to enhance the harmonization of the composite
image. Extensive experimental results demonstrate the effectiveness of
our method.