Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation-Reference-Cited by-同舟云学术

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Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

Published:2022 Issue: Volume: Page:72-90
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

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

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19778-9_5

Reference73 articles.

1. Adamson, A.S., Smith, A.: Machine learning and health care disparities in dermatology. JAMA Dermatol. 154(11), 1247–1248 (2018)

2. Aldrian, O., Smith, W.A.: Inverse rendering of faces with a 3D morphable model. Trans. Pattern Anal. Mach. Intell. (PAMI) 35(5), 1080–1093 (2012)

3. Bai, Z., Cui, Z., Liu, X., Tan, P.: Riggable 3D face reconstruction via in-network optimization. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6216–6225 (2021)

4. Bas, A., Smith, W.A.P.: What does 2D geometric information really tell us about 3D face shape? Int. J. Comput. Vis. (IJCV) 127(10), 1455–1473 (2019)

5. Bianco, S., Schettini, R.: Adaptive color constancy using faces. Trans. Pattern Anal. Mach. Intell. (PAMI) 36(8), 1505–1518 (2014)

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3. The CHROMA-FIT Dataset: Characterizing Human Ranges of Melanin For Increased Tone-awareness;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

4. FLARE: Fast Learning of Animatable and Relightable Mesh Avatars;ACM Transactions on Graphics;2023-12-05

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