“Exploring Color Variations for Vector Graphics” by Ghosh, Echevarria, Batra and Phogat

  • ©Sayan Ghosh, Jose Ignacio Echevarria, Vineet Batra, and Ankit Phogat

  • ©Sayan Ghosh, Jose Ignacio Echevarria, Vineet Batra, and Ankit Phogat

  • ©Sayan Ghosh, Jose Ignacio Echevarria, Vineet Batra, and Ankit Phogat

  • ©Sayan Ghosh, Jose Ignacio Echevarria, Vineet Batra, and Ankit Phogat

  • ©Sayan Ghosh, Jose Ignacio Echevarria, Vineet Batra, and Ankit Phogat

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Entry Number: 10

Title:

    Exploring Color Variations for Vector Graphics

Presenter(s)/Author(s):



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.

References:


    1. Paul Asente, Mike Schuster, and Teri Pettit. 2007. Dynamic Planar Map Illustration. ACM Trans. Graph. 26, 3, Article 30 (July 2007).
    2. 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).
    3. 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.
    4. 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.
    5. 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).

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