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...
| Published in: | Machine Learning with Applications |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000871 |