Sayan Ghosh
ABSTRACT
We propose a novel and intuitive method for exploring recoloring variations of vector graphics. Compared with existing methods, ours is specifically tailored for vector graphics, where color distributions are sparser and are explicitly stored using constructs like solid colors or gradients, independent from other semantical and spatial relationships. Our method tries to infer some of them before formulating color transfer as a transport problem between the weighted color distributions of the reference and the target vector graphics. We enable creative exploration by providing fine-grain control over the resulting transfer, allowing users to modify relative color distributions in real-time.
Supplemental Material
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Digital Library
- Y. Li, M. Y. Liu, X. Li, M. H. Yang, and J. Kautz. 2018. A closed-form solution to photorealistic image stylization. European Conference on Computer Vision (ECCV) (2018).Google Scholar
- R.M.H. Nguyen, B. Price, S. Cohen, and M. S. Brown. 2017. Group-Theme Recoloring for Multi-Image Color Consistency. Computer Graphics Forum 36, 7 (2017), 83--92.Google ScholarCross Ref
- E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley. 2001. Color transfer between images. IEEE Computer Graphics and Applications 21, 5 (July 2001), 34--41. Google ScholarDigital Library
- Y. Rubner, C. Tomasi, and L. J. Guibas. 1998. A metric for distributions with applications to image databases. In IEEE International Conference on Computer Vision (1998). Google ScholarDigital Library
Index Terms
Exploring color variations for vector graphics
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