More Than Killmonger Locs: A Style Guide for Black Hair (in Computer Graphics)

2024-07-27 · 3 citations

We will cover recent advances and ongoing challenges in the depiction of Black hair, otherwise known as kinky, or Afro-textured hair. In computer graphics, the majority hair research has been in the depiction straight or wavy hair. As a result, many aspects of the aesthetics and mechanics of Black hair remain poorly understood. To help fill this gap, we will present Code My Crown, a free guide to creating Black digital hairstyles that we co-authored in collaboration with a community of game artists and Dove. We also cover styling guidelines for 3D models in the Open Source Afro Hair Library, and present Lifted Curls, our strand simulation technique specifically designed for Afro-textured hair. Finally, we will suggest future directions for hair research.

Curly-Cue: Geometric Methods for Highly Coiled Hair

2024-12-03 · 5 citations

Lifted Curls

Proceedings of the ACM on Computer Graphics and Interactive Techniques · 2023 · 9 citations

• Computer Science
• Computer Science
• Algorithm

We present an isotropic, hyperelastic model specifically designed for the efficient simulation of tightly coiled hairs whose curl radii approach 5 mm. Our model is robust to large bends and torsions, even when they appear at the scale of the strand discretization. The terms of our model are consistently quadratic with respect to their primary variables, do not require per-edge frames or any parallel transport operators, and can efficiently take large timesteps on the order of ~1/30 of a second. Additionally, we show that it is possible to obtain fast, closed-form eigensystems for all the terms in the energy. Our eigenanalysis is sufficiently generic that it generalizes to other models. Our entirely vertex-based formulation integrates naturally with existing finite element codes, and we demonstrate its efficiency and robustness in a variety of scenarios.

Countering Racial Bias in Computer Graphics Research

2022 · 14 citations

• Computer Science
• Computer Science
• Computer graphics (images)

No abstract available.

Countering Racial Bias in Computer Graphics Research

arXiv (Cornell University) · 2021 · 2 citations

• Computer Science
• Sociology
• Political Science

Current computer graphics research practices contain racial biases that have resulted in investigations into "skin" and "hair" that focus on the hegemonic visual features of Europeans and East Asians. To broaden our research horizons to encompass all of humanity, we propose a variety of improvements to quantitative measures and qualitative practices, and pose novel, open research problems.