AdvFD augments static Fréchet-loss post-training with a whitened adversarial representation, mitigating Fréchet hacking and improving one-step ImageNet generation across JiT and pMF backbones.
Fast high-resolution image synthesis with latent adversarial diffusion distillation
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
AdvFD: Boosting Visual Generation via Adversarial Fr'echet Distance Loss
AdvFD augments static Fréchet-loss post-training with a whitened adversarial representation, mitigating Fréchet hacking and improving one-step ImageNet generation across JiT and pMF backbones.