notesum.ai
Published at November 6Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
cs.LG
cs.AI
Released Date: November 6, 2024
Authors: Sagar Shrestha1, Xiao Fu1
Aff.: 1School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA

| Method | FID () | Style Diversity () | ||||
|---|---|---|---|---|---|---|
| AFHQ | CelebA-HQ | CelebA-7 | AFHQ | CelebA-HQ | CelebA-7 | |
| Transitional-cGAN | 38.00 | 8.12 | 70.45 | – | – | – |
| StyleGAN-ADA | 8.17 | 5.89 | 72.10 | – | – | – |
| I-GAN | 6.28 | 5.91 | 5.18 | 0.16 0.02 | 0.07 0.03 | 0.07 |
| Proposed | 6.19 | 5.70 | 5.27 | 0.50 0.03 | 0.36 0.04 | 0.26 0.06 |