“RealBrush: painting with examples of physical media” by Lu, Barnes, DiVerdi and Finkelstein
Conference:
Type(s):
Title:
- RealBrush: painting with examples of physical media
Session/Category Title: Artistic Rendering & Stylization
Presenter(s)/Author(s):
Moderator(s):
Abstract:
Conventional digital painting systems rely on procedural rules and physical simulation to render paint strokes. We present an interactive, data-driven painting system that uses scanned images of real natural media to synthesize both new strokes and complex stroke interactions, obviating the need for physical simulation. First, users capture images of real media, including examples of isolated strokes, pairs of overlapping strokes, and smudged strokes. Online, the user inputs a new stroke path, and our system synthesizes its 2D texture appearance with optional smearing or smudging when strokes overlap. We demonstrate high-fidelity paintings that closely resemble the captured media style, and also quantitatively evaluate our synthesis quality via user studies.
References:
1. Ando, R., and Tsuruno, R. 2010. Segmental brush synthesis with stroke images. In Proceedings of Eurographics — Short papers, 89–92.Google Scholar
2. Baxter, W., and Govindaraju, N. 2010. Simple data-driven modeling of brushes. In Proceedings of I3D, 135–142. Google ScholarDigital Library
3. Baxter, W. V., Wendt, J., and Lin, M. C. 2004. IMPaSTo: A realistic, interactive model for paint. In Proceedings of NPAR, 45–56. Google ScholarDigital Library
4. Chu, N., and Tai, C.-L. 2005. MoXi: Real-time ink dispersion in absorbent paper. In Proceedings of SIGGRAPH, 504–511. Google ScholarDigital Library
5. Chu, N., Baxter, W., Wei, L.-Y., and Govindaraju, N. 2010. Detail-preserving paint modeling for 3d brushes. In Proceedings of NPAR, 27–34. Google ScholarDigital Library
6. Darabi, S., Shechtman, E., Barnes, C., Goldman, D., and Sen, P. 2012. Image melding: combining inconsistent images using patch-based synthesis. ACM Transactions on Graphics 31, 4, 82:1–82:10. Google ScholarDigital Library
7. DiVerdi, S., Krishnaswamy, A., and Hadap, S. 2010. Industrial-strength painting with a virtual bristle brush. In Proceedings of Virtual Reality Science and Technology, 119–126. Google ScholarDigital Library
8. DiVerdi, S., Krishnaswamy, A., Měch, R., and Ito, D. 2012. A lightweight, procedural, vector watercolor painting engine. In Proceedings of I3D, 63–70. Google ScholarDigital Library
9. Hjelle, Ø. 2001. Approximation of scattered data with multilevel b-splines. Tech. rep., SINTEF.Google Scholar
10. Hsu, S. C., and Lee, I. H. H. 1994. Drawing and animation using skeletal strokes. In Proceedings of SIGGRAPH, 109–118. Google ScholarDigital Library
11. Kim, M., and Shin, H. J. 2010. An example-based approach to synthesize artistic strokes using graphs. Computer Graphics Forum 29, 7, 2145–2152.Google ScholarCross Ref
12. Kwatra, V., Schodl, A., Essa, I., Turk, G., and Bobick, A. 2003. Graphcut textures: Image and video synthesis using graph cuts. ACM Transactions on Graphics 22, 3, 277–286. Google ScholarDigital Library
13. Lu, J., Yu, F., Finkelstein, A., and DiVerdi, S. 2012. Helpinghand: Example-based stroke stylization. In Proceedings of SIGGRAPH, 46:1–46:10. Google ScholarDigital Library
14. Pitié, F., Kokaram, A., and Dahyot, R. 2007. Automated colour grading using colour distribution transfer. Computer Vision and Image Understanding 107, 1, 123–137. Google ScholarDigital Library
15. Ritter, L., Li, W., Curless, B., Agrawala, M., and Salesin, D. 2006. Painting with texture. In Proceedings of the Eurographics conference on Rendering Techniques, 371–376. Google ScholarDigital Library
16. Schretter, C. 2005. A brush tool for interactive texture synthesis. ICGST International Journal on Graphics, Vision and Image Processing 6, 5, 55–60.Google Scholar
17. Van Haevre, W., Van Laerhoven, T., Di Fiore, F., and Van Reeth, F. 2007. From dust till drawn: A real-time bidirectional pastel simulation. The Visual Computer, 925–934. Google ScholarDigital Library
18. Wang, B., Wang, W., Yang, H., and Sun, J. 2004. Efficient example-based painting and synthesis of 2D directional texture. IEEE Trans. Visualization and Computer Graphics, 3, 266–277. Google ScholarDigital Library
19. Xie, N., Laga, H., Saito, S., and Nakajima, M. 2011. Contour-driven sumi-e rendering of real photos. Computers & Graphics 35, 1, 122–134. Google ScholarDigital Library
20. Xie, N., Hachiya, H., and Sugiyama, M. 2012. Artist agent: A reinforcement learning approach to automatic stroke generation in oriental ink painting. In Proceedings of the International Conference on Machine Learning, 153–160.Google Scholar
21. Xu, M., and Dong, J. 2006. Generating new styles of chinese stroke based on statistical model. In Proc. International Multiconference on Computer Science and I. T., 215–222.Google Scholar
22. Xu, S., Tang, M., Lau, F. C. M., and Pan, Y. 2004. Virtual hairy brush for painterly rendering. Graphical Models 66, 5. Google ScholarDigital Library
23. Xu, S., Xu, Y., Kang, S. B., Salesin, D. H., Pan, Y., and Shum, H.-Y. 2006. Animating chinese paintings through stroke-based decomposition. ACM Transactions on Graphics 25, 2, 239–267. Google ScholarDigital Library
24. Xu, S., Tan, H., Jiao, X., Lau, F., and Pan, Y. 2007. A generic pigment model for digital painting. Computer Graphics Forum 26, 609–618.Google ScholarCross Ref
25. Yan, C.-R., Chi, M.-T., Lee, T.-Y., and Lin, W.-C. 2008. Stylized rendering using samples of a painted image. IEEE Trans. Visualization and Computer Graphics 14, 2, 468–480. Google ScholarDigital Library
26. Zeng, K., Zhao, M., Xiong, C., and Zhu, S.-C. 2009. From image parsing to painterly rendering. ACM Transactions on Graphics 29, 1. Google ScholarDigital Library
27. Zhou, S., Lasram, A., and Lefebvre, S. 2013. By-example synthesis of curvilinear structured patterns. Computer Graphics Forum 32, 2.Google ScholarCross Ref