“AppWarp: retargeting measured materials by appearance-space warping” – ACM SIGGRAPH HISTORY ARCHIVES

“AppWarp: retargeting measured materials by appearance-space warping”

  • 2011-SA-Technical-Paper_An_AppWarp

Conference:


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Title:

    AppWarp: retargeting measured materials by appearance-space warping

Session/Category Title:   Material Editing

Presenter(s)/Author(s):


Abstract:


    We propose a method for retargeting measured materials, where a source measured material is edited by applying the reflectance functions of a template measured dataset. The resulting dataset is a material that maintains the spatial patterns of the source dataset, while exhibiting the reflectance behaviors of the template. Compared to editing materials by subsequent selections and modifications, retargeting shortens the time required to achieve a desired look by directly using template data, just as color transfer does for editing images. With our method, users have to just mark corresponding regions of source and template with rough strokes, with no need for further input.This paper introduces AppWarp, an algorithm that achieves retargeting as a user-constrained, appearance-space warping operation, that executes in tens of seconds. Our algorithm is independent of the measured material representation and supports retargeting of analytic and tabulated BRDFs as well as BSSRDFs. In addition, our method makes no assumption of the data distribution in appearance-space nor on the underlying correspondence between source and target. These characteristics make AppWarp the first general formulation for appearance retargeting. We validate our method on several types of materials, including leaves, metals, waxes, woods and greeting cards. Furthermore, we demonstrate how retargeting can be used to enhance diffuse texture with high quality reflectance.

References:


    1. An, X., and Pellacini, F. 2008. AppProp: all-pairs appearance-space edit propagation. ACM Transactions on Graphics 27, 3, 40:1–40:9. Google ScholarDigital Library
    2. An, X., and Pellacini, F. 2010. User-controllable color transfer. Computer Graphics Forum (EG) 29, 2, 263–271.Google ScholarCross Ref
    3. Ashikhmin, M., Premože, S., and Shirley, P. 2000. A microfacet-based BRDF generator. In SIGGRAPH, 65–74. Google ScholarDigital Library
    4. Cook, R. L., and Torrance, K. E. 1982. A reflectance model for computer graphics. ACM Transactions on Graphics 1, 1, 7–24. Google ScholarDigital Library
    5. de Silva, V., and Tenenbaum, B. 2004. Sparse multidimensional scaling using landmark points. Technical Report, Stanford University.Google Scholar
    6. Debevec, P., Tchou, C., Gardner, A., Hawkins, T., Poullis, C., Stumpfel, J., Jones, A., Yun, N., Einarsson, P., Lundgren, T., Fajardo, M., and Martinez, P. 2004. Estimating surface reflectance properties of a complex scene under captured natural illumination. Technical Report, University of Southern California Institute for Creative Technologies Graphics Laboratory, ICT-TR-06.Google Scholar
    7. Dong, Y., Wang, J., Tong, X., Snyder, J., Lan, Y., BenEzra, M., and Guo, B. 2010. Manifold bootstrapping for SVBRDF capture. ACM Transactions on Graphics 29, 4, 98:1–98:10. Google ScholarDigital Library
    8. Gu, J., Tu, C.-I., Ramamoorthi, R., Belhumeur, P. N., Matusik, W., and Nayar, S. K. 2006. Time-varying surface appearance: acquisition, modeling and rendering. ACM Transactions on Graphics 25, 3, 762–771. Google ScholarDigital Library
    9. Holroyd, M., Lawrence, J., and Zickler, T. 2010. A coaxial optical scanner for synchronous acquisition of 3d geometry and surface reflectance. ACM Transactions on Graphics 29, 4, 99:1–99:12. Google ScholarDigital Library
    10. Kerr, W. B., and Pellacini, F. 2010. Toward evaluating material design interface paradigms for novice users. ACM Transactions on Graphics 29, 4, 35:1–35:10. Google ScholarDigital Library
    11. Lagarias, J. C., Reeds, J. A., Wright, M. H., and Wright, P. E. 1998. Convergence properties of the nelder-mead simplex method in low dimensions. SIAM Journal of Optimization 9, 112–147. Google ScholarDigital Library
    12. Lawrence, J., 2009. Personal communication.Google Scholar
    13. Lu, J., Georghiades, A. S., Glaser, A., Wu, H., Wei, L.-Y., Guo, B., Dorsey, J., and Rushmeier, H. E. 2007. Context-aware textures. ACM Transactions on Graphics 26, 1, 3:1–3:22. Google ScholarDigital Library
    14. Marschner, S. R., Westin, S. H., Arbree, A., and Moon, J. T. 2005. Measuring and modeling the appearance of finished wood. ACM Transactions on Graphics 24, 3, 727–734. Google ScholarDigital Library
    15. Matusik, W., Pfister, H., Brand, M., and McMillan, L. 2003. A data-driven reflectance model. ACM Transactions on Graphics 22, 3, 759–769. Google ScholarDigital Library
    16. Mertens, T., Kautz, J., Chen, J., Bekaert, P., and Durand, F. 2006. Texture transfer using geometry correlation. In Rendering Techniques, Eurographics Symposium on Rendering, 273–284. Google ScholarDigital Library
    17. Pellacini, F., and Lawrence, J. 2007. AppWand: editing measured materials using appearance-driven optimization. ACM Transactions on Graphics 26, 3, 54. Google ScholarDigital Library
    18. Pitié, F., Kokaram, A. C., and Dahyot, R. 2007. Automated colour grading using colour distribution transfer. Computer Vision and Image Understanding 107, 1–2, 123–137. Google ScholarDigital Library
    19. Reinhard, E., Ashikhmin, M., Gooch, B., and Shirley, P. 2001. Color transfer between images. IEEE Computer Graphics and Applications 21, 5, 34–41. Google ScholarDigital Library
    20. Schaefer, S., McPhail, T., and Warren, J. D. 2006. Image deformation using moving least squares. ACM Transactions on Graphics 25, 3, 533–540. Google ScholarDigital Library
    21. Slavens, M., 2005. “rust cirlces 3”. CC BY 2.0 image on Flickr.Google Scholar
    22. Song, Y., Tong, X., Pellacini, F., and Peers, P. 2009. SubEdit: a representation for editing measured heterogeneous subsurface scattering. ACM Transactions on Graphics 28, 3, 31:1–31:10. Google ScholarDigital Library
    23. Tenenbaum, J. B., de Silva, V., and Langford, J. C. 2000. A global geometric framework for nonlinear dimensionality reduction. Science 290, 5500, 2319–2323.Google Scholar
    24. Toler-Franklin, C., Finkelstein, A., and Rusinkiewicz, S. 2007. Illustration of complex real-world objects using images with normals. In International Symposium on Non-Photorealistic Animation and Rendering (NPAR), ACM, 111–119. Google ScholarDigital Library
    25. Wang, J., Tong, X., Lin, S., Pan, M., Wang, C., Bao, H., Guo, B., and Shum, H.-Y. 2006. Appearance manifolds for modeling time-variant appearance of materials. ACM Transactions on Graphics 25, 3, 754–761. Google ScholarDigital Library
    26. Wang, J., Zhao, S., Tong, X., Snyder, J., and Guo, B. 2008. Modeling anisotropic surface reflectance with example-based microfacet synthesis. ACM Transactions on Graphics 27, 3, 41:1–41:9. Google ScholarDigital Library
    27. Ward, G. J. 1992. Measuring and modeling anisotropic reflection. In SIGGRAPH, ACM, 265–272. Google ScholarDigital Library

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