Microfacet Models for Refraction through Rough Surfaces

By Bruce Walter, Steve Marschner, Hongsong Li, K. Torrance. Rendering Techniques, 2007

975 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2bd8dd77cd4578d55f4642f44d26a253f342d4e5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets (2020, methodology): “We instead use 1331 spatially varying complex materials from Adobe Stock assets [1], deﬁned by a parametric microfacet BRDF model [46].”
Single-image SVBRDF capture with a rendering-aware deep network (2018, methodology): “We used the Mitsuba renderer [Jakob 2010], for which we implemented the Cook-Torrance BRDF model [1982] with GGX normal distribution [Walter et al. 2007] to match the model used in Allegorithmic Substance.”
SAPIEN: A SimulAted Part-Based Interactive ENvironment (2020, methodology): “By default, the rendering module uses a deferred lighting pipeline to provide RGB, albedo, normal, depth, and segmentation from camera space, where lighting is computed with OrenNayar diffuse model [55] and GGX specular model [52].”
Understanding the Masking-Shadowing Function in Microfacet-Based BRDFs (2014, methodology): “where ∥∥∥ ∂ωh ∂ωi ∥∥∥ = 1 4 |ωi·ωh| is the Jacobian of the reflection transformation [Walter et al. 2007], and F is the Fresnel term.”
Real Shading in Unreal Engine 4 by (2013, methodology): “One minor difference is that we convolve the environment map with the GGX distribution of our shading model using importance sampling.”
Differentiable Monte Carlo ray tracing through edge sampling (2018, methodology): “We handle textures correctly by differentiating through the smooth reconstruction, and many widely-used reflection models such as GGX [Walter et al. 2007] (with Smith masking) or Disney’s principled BRDF [Burley 2012] are differentiable.”
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation (2023, background): “The kd term denotes the diffuse value, while the krm term encompasses the roughness r and metalness m; the roughness r serves as a metric for measuring the extent of specular reflection and a parameter of the GGX [42] normal distribution function in the rendering equation.”