门怡芳同学论文《A Common Framework for Interactive Texture Transfer》被CVPR 2018录用！
CVPR是计算机视觉、模式识别和人工智能领域国际顶级会议，2018年将在美国盐湖城召开。
门怡芳同学是本论文第一作者，现为实验室一年级硕士研究生。
http://cvpr2018.thecvf.com
Y. Men, Z. Lian*, Y. Tang, J. Xiao. A Common Framework for Interactive Texture Transfer. CVPR 2018 (accepted)
In this paper, we present a general-purpose solution to interactive texture transfer problems that better preserves both local structure and visual richness. It is challenging due to the diversity of tasks and the simplicity of required user guidance. The core idea of our common framework is to use multiple custom channels to dynamically guide the synthesis process. For interactivity, users can control the spatial distribution of stylized textures via semantic channels. The structure guidance, acquired by two stages of automatic extraction and propagation of structure information, provides a prior for initialization and preserves the salient structure by searching the nearest neighbor fields (NNF) with structure coherence. Meanwhile, texture coherence is also exploited to maintain similar style with the source image. In addition, we leverage an improved PatchMatch with extended NNF and matrix operations to obtain transformable source patches with richer geometric information at high speed. We demonstrate the effectiveness and superiority of our method on a variety of scenes through extensive comparisons with state-of-the-art algorithms.