![[Image-based Remapping of Spatially-Varying Material Appearance]](sztrajman2019image-based-400x300.jpg)
Alejandro Sztrajman1, Jaroslav Křivánek2, Alexander Wilkie2, Tim Weyrich1
1 University College London
2 Charles University
BRDF models are ubiquitous tools for the representation of material appearance. However, there is now an astonishingly large number of different models in practical use. Both a lack of BRDF model standardisation across implementations found in different renderers, as well as the often semantically different capabilities of various models, have grown to be a major hindrance to the interchange of production assets between different rendering systems. Current attempts to solve this problem rely on manually finding visual similarities between models, or mathematical ones between their functional shapes, which requires access to the shader implementation, usually unavailable in commercial renderers. We present a method for automatic translation of material appearance between different BRDF models, which uses an image-based metric for appearance comparison, and that delegates the interaction with the model to the renderer. We analyse the performance of the method, both with respect to robustness and visual differences of the fits for multiple combinations of BRDF models. While it is effective for individual BRDFs, the computational cost does not scale well for spatially-varying BRDFs. Therefore, we further present two regression schemes that approximate the shape of the transformation function and generate a reduced representation which evaluates instantly and without further interaction with the renderer. We present respective visual comparisons of the remapped SVBRDF models for commonly used renderers and shading models, and show that our approach is able to extrapolate transformed BRDF parameters better than other complex regression schemes. Finally we analyse the transformation between specular and metallic workflows, comparing our results with two analytic conversions.
Alejandro Sztrajman, Jaroslav Křivánek, Alexander Wilkie, Tim Weyrich. Journal of Computer Graphics Techniques (JCGT), 8(4), pp. 1–30, October 2019.Alejandro Sztrajman, Jaroslav Křivánek, Alexander Wilkie, and Tim Weyrich. Image-based remapping of spatially-varying material appearance. Journal of Computer Graphics Techniques (JCGT), 8(4):1–30, October 2019.Sztrajman, A., Křivánek, J., Wilkie, A., and Weyrich, T. 2019. Image-based remapping of spatially-varying material appearance. Journal of Computer Graphics Techniques (JCGT) 8, 4 (Oct.), 1–30.A. Sztrajman, J. Křivánek, A. Wilkie, and T. Weyrich, “Image-based remapping of spatially-varying material appearance,” Journal of Computer Graphics Techniques (JCGT), vol. 8, no. 4, pp. 1–30, Oct. 2019. [Online]. Available: http://jcgt.org/published/0008/04/01/ |
![[Image-based Remapping of Material Appearance]](./../../projects/reflectance-remapping/sztrajman17image-based-128x96.jpg) | Alejandro Sztrajman, Jaroslav Křivánek, Alexander Wilkie, Tim Weyrich. Proc. 5th Workshop on Material Appearance Modeling, pp. 5–8, Helsinki, June 2017.Alejandro Sztrajman, Jaroslav Křivánek, Alexander Wilkie, and Tim Weyrich. Image-based remapping of material appearance. In Reinhard Klein and Holly Rushmeier, editors, Proc. 5th Workshop on Material Appearance Modeling, MAM ’17, pages 5–8, Aire-la-Ville, Switzerland, Switzerland, June 2017. The Eurographics Association.Sztrajman, A., Křivánek, J., Wilkie, A., and Weyrich, T. 2017. Image-based remapping of material appearance. InProc. 5th Workshop on Material Appearance Modeling, The Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, R. Klein and H. Rushmeier, Eds., MAM ’17, 5–8.A. Sztrajman, J. Křivánek, A. Wilkie, and T. Weyrich, “Image-based remapping of material appearance,” in Proc. 5th Workshop on Material Appearance Modeling, ser. MAM ’17, R. Klein and H. Rushmeier, Eds. Aire-la-Ville, Switzerland, Switzerland: The Eurographics Association, Jun. 2017, pp. 5–8. [Web Page][PDF (0.8 MB)][BibTeX][DOI] |
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.&npsb;642841 (DISTRO). We would like to thank Cyrille Damez from Allegorithmic for his support.
