“Dressed for Saving the Day: Finer Details for Garment Shading on Incredibles 2” by Crow, Kilgore and Ling
Conference:
Type:
Entry Number: 06
Title:
- Dressed for Saving the Day: Finer Details for Garment Shading on Incredibles 2
Presenter(s)/Author(s):
Abstract:
On Incredibles 2 the characters shading team was tasked with creating the look for both reality-based clothes reminiscent of the 1950’s era as well as creatively styled superhero suits. A major design goal was to add details in whatever ways possible to help give this sequel a more sophisticated look and feel when compared to the original film and appropriately supplement other visual advances since then in lighting and fx.
Two methods that helped us achieve this was using Bump-To-Roughness to help preserve fine details in the clothing and using curve procedurals, or fuzz, to add realism to the garment shading. Bump-To-Roughness (BtoR) helps preserve specular roughness variation details while shaping the specular distribution in a natural way. The procedural fuzz provides a tunable specular response near the surface, that breaks up the edge silhouette and compliments the imperfect nature of realistic objects without additional modeling or grooming. In this talk we will describe ways in which these two methods helped us achieve a variety of impressive looks to our garments.
References:
Jonathan Dupuy, Eric Heitz, Jean-Claude Iehl, Pierre Poulin, Fabrice Neyret, and Victor Ostromoukhov. 2013. Linear Ecient Antialiased Displacement and Reectance Mapping. ACM Transactions on Graphics 32, 6 (Nov. 2013), Article No. 211. DOI: hp://dx.doi.org/10.1145/2508363.2508422
Christophe Hery, Michael Kass, and Junyi Ling. 2014. Geometry into Shading. hps: //graphics.pixar.com/library//BumpRoughness/. (04 2014).
Marc Olano and Dan Baker. 2010. LEAN Mapping. In Proceedings of the 2010 ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D ’10). ACM, New York, NY, USA, 181–188. DOI:hp://dx.doi.org/10.1145/1730804.1730834
Vincent Schussler, Eric Heitz, Johannes Hanika, and Carsten Dachsbacher. 2017. ¨ Microfacet-based normal mapping for robust Monte Carlo path tracing. ACM Trans. Graph. 36, 6 (2017), 205:1–205:12. DOI:hp://dx.doi.org/10.1145/3130800.3130806
