“On Fairness in Face Albedo Estimation” by Feng, Bolkart, Tesch, Black and Abrevaya

  • ©Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, and Victoria Abrevaya



Entry Number: 04


    On Fairness in Face Albedo Estimation



    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.


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