Evaluating a face generator from a human perspective

Evaluating a face generator from a human perspective

StyleGAN2 is able to generate very realistic and high-quality faces of humans using a training set (FFHQ). Instead of using one of the many commonly used metrics to evaluate the performance of a face generator (e.g., FID, IS and P&R), this paper uses a more humanlike approach providing a differe...

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Bibliographic Details
Main Authors: Joris Pries, Sandjai Bhulai, Rob van der Mei
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Machine Learning with Applications
Subjects:
Face generator
StyleGAN2
Attribute prediction
Facial recognition
Clustering
Truncation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000871

Internet

http://www.sciencedirect.com/science/article/pii/S2666827022000871

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