HPGEN

Citation Author(s):
Roberto
Valle Fernández
Universidad Politécnica de Madrid
José Miguel
Buenaposada Biencinto
Universidad Rey Juan Carlos
Luis
Baumela Molina
Universidad Politécnica de Madrid
Submitted by:
Roberto Valle F...
Last updated:
Mon, 04/14/2025 - 03:18
DOI:
10.21227/d31p-nt47
Data Format:
*.png; *.txt
Research Article Link:
Reducing Head Pose Estimation Data Set Bias With Synthetic Data
Links:
Author homepage
License:
Creative Commons Attribution
93 Views
Categories:
Computer Vision
Keywords:
head pose estimation; generative models; data set bias
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Abstract 

Synthetic image data set using a generative model with explicit control over the head pose. HPGEN offers a promising solution to address data set bias in the head pose estimation as current benchmarks suffer from a limited number of images, imbalanced data distributions, the high cost of annotation, and ethical concerns.

Instructions: 

We provide text annotations for each face image following:
image;identity;bbox_x;bbox_y;bbox_w;bbox_h;yaw;pitch;roll

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