Abstract
Digital avatars will be crucial components for immersive telecommunication, gaming, and the coming metaverse. Unfortunately, current methods for estimating the facial appearance (albedo) are biased to estimate light skin tones. This talk raises awareness of the problem with an analysis of (1) dataset biases and (2) the light/albedo ambiguity. We show how these problems can be ameliorated by recent advances, improving fairness in albedo estimation.
Cite
CITATION STYLE
Feng, H., Bolkart, T., Tesch, J., Black, M., & Abrevaya, V. (2022). On Fairness in Face Albedo Estimation. In Proceedings - SIGGRAPH 2022 Talks. Association for Computing Machinery, Inc. https://doi.org/10.1145/3532836.3536281
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
