Anti-racist Graphics

SCA 2023 Best Paper Award!

Congratulations to Alvin Shi, Haomiao Wu, and Jarred Parr, who along with Prof. Theodore Kim and collaborator Prof. A.M. Darke (UC Santa Cruz) won the best paper award at SCA 2023 for their paper:

Lifted Curls: A Model for Tightly Coiled Hair Simulation

Citation: This paper presents a drastically more stable hyper elastic energy model for simulating tightly coiled hair with impressive visual results. It enables the simulation of a new hair style with deep mathematical insights and unprecedented numerical stability.

Donation from Bungie Foundation Supports Anti-Racist Graphics Research at Yale

Imagine creating a character in your favorite video game and, despite the numerous options and customizations of facial features available, you are unable to generate an avatar that truly resembles you. This feeling of exclusion is something that many experience far too often and a result of prejudice inherited by modern computer graphics technologies.

Anti-Racist Graphics

Many computer graphics research practices contain insidious racial biases. For example, investigations into the realistic depiction of “skin” over the last two decades has focused on capturing the subtle “glow” of illuminated skin. However, this is only a visually dominant feature in white skin. As a result, supposedly universal algorithms for rendering realistic “human skin” are actually geared towards the rendering of white skin. Similarly detailed research investigations have yet to be performed for high-melanin Black skin.

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