A Microfacet‐based Hair Scattering Model

Huang, Weizhen; Hullin, Matthias B.; Hanika, Johannes

doi:10.1111/cgf.14588

Cited by 5 publications

(3 citation statements)

References 25 publications

(41 reference statements)

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“…The seminal work of Marschner and colleagues [MJC*03] modeled the scattering of hair as a bidirectional curve scattering function (BCSDF) [ZW07], approximating each fiber as a dielectric filament with circular cross section. Inspired by Marschner's model, several works have been proposed improving its accuracy [dFH*11; HHH22; XWM*20], generalizing to elliptical cross sections [KM17; BP21], or making it more practical for production scenarios [PHVL15; SPJT10; CBTB16]. While advanced hair scattering models can improve the efficiency of rendering, our work is independent of specific a scattering model used and provides a general rendering acceleration solution, with a focus on accelerating computations of multiple scattering between hair strands.…”

Section: Related Workmentioning

confidence: 99%

Accelerating Hair Rendering by Learning High‐Order Scattered Radiance

Jarabo

Aliaga

et al. 2023

Computer Graphics Forum

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Efficiently and accurately rendering hair accounting for multiple scattering is a challenging open problem. Path tracing in hair takes long to converge while other techniques are either too approximate while still being computationally expensive or make assumptions about the scene. We present a technique to infer the higher order scattering in hair in constant time within the path tracing framework, while achieving better computational efficiency. Our method makes no assumptions about the scene and provides control over the renderer's bias & speedup. We achieve this by training a small multilayer perceptron (MLP) to learn the higher‐order radiance online, while rendering progresses. We describe how to robustly train this network and thoroughly analyze our resulting renderer's characteristics. We evaluate our method on various hairstyles and lighting conditions. We also compare our method against a recent learning based & a traditional real‐time hair rendering method and demonstrate better quantitative & qualitative results. Our method achieves a significant improvement in speed with respect to path tracing, achieving a run‐time reduction of 40%‐70% while only introducing a small amount of bias.

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Section: Related Workmentioning

confidence: 99%

Accelerating Hair Rendering by Learning High‐Order Scattered Radiance

Jarabo

Aliaga

et al. 2023

Computer Graphics Forum

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“…Our approach [52] is rooted in microfacet theory [21,48]. In computer graphics, a rough surface is usually modeled by a collection of small microfacets (also called microareas in the Trowbridge-Reitz distribution [120]), which scatter light in mirror directions.…”

Section: Hair Structure and Renderingmentioning

confidence: 99%

“…The following content is structured as follows: in Sections 1.2 to 1.3, we describe the physical properties of our objects of study, what previous works are lacking in describing these objects and what our models offer; in Chapter 2, we explain the background knowledge and necessary tools for understanding and solving the proposed problems; in Chapters 3 to 5, we present the respective publications on soap bubbles [53], human hairs [52], and rock dove neck feathers [54]; in Chapter 6, we conclude our achievements, discuss the influence of our works on following research and production renderers, and pose a few open problems.…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Chemomechanical simulation of soap film flow on spherical bubbles

et al. 2020

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Soap bubbles are widely appreciated for their fragile nature and their colorful appearance. The natural sciences and, in extension, computer graphics, have comprehensively studied the mechanical behavior of films and foams, as well as the optical properties of thin liquid layers. In this paper, we focus on the dynamics of material flow within the soap film, which results in fascinating, extremely detailed patterns. This flow is characterized by a complex coupling between surfactant concentration and Marangoni surface tension. We propose a novel chemomechanical simulation framework rooted in lubrication theory, which makes use of a custom semi-Lagrangian advection solver to enable the simulation of soap film dynamics on spherical bubbles both in free flow as well as under body forces such as gravity or external air flow. By comparing our simulated outcomes to videos of real-world soap bubbles recorded in a studio environment, we show that our framework, for the first time, closely recreates a wide range of dynamic effects that are also observed in experiment.

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A Surface‐based Appearance Model for Pennaceous Feathers

Padrón‐Griffe,

Lanza,

Jarabo

et al. 2024

Computer Graphics Forum

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The appearance of a real‐world feather results from the complex interaction of light with its multi‐scale biological structure, including the central shaft, branching barbs, and interlocking barbules on those barbs. In this work, we propose a practical surface‐based appearance model for feathers. We represent the far‐field appearance of feathers using a BSDF that implicitly represents the light scattering from the main biological structures of a feather, such as the shaft, barb and barbules. Our model accounts for the particular characteristics of feather barbs such as the non‐cylindrical cross‐sections and the scattering media via a numerically‐based BCSDF. To model the relative visibility between barbs and barbules, we derive a masking term for the differential projected areas of the different components of the feather's microgeometry, which allows us to analytically compute the masking between barbs and barbules. As opposed to previous works, our model uses a lightweight representation of the geometry based on a 2D texture, and does not require explicitly representing the barbs as curves. We show the flexibility and potential of our appearance model approach to represent the most important visual features of several pennaceous feathers.

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A Microfacet‐based Hair Scattering Model

Cited by 5 publications

References 25 publications

Accelerating Hair Rendering by Learning High‐Order Scattered Radiance

Accelerating Hair Rendering by Learning High‐Order Scattered Radiance

Chemomechanical simulation of soap film flow on spherical bubbles

A Surface‐based Appearance Model for Pennaceous Feathers

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