SCAD adapts Slicing Adversarial Networks and dual expert discriminators to CLIP-aided text-to-image GANs, improving per-prompt diversity (mPPD) and zero-shot FID over GALIP at similar or lower training cost.
Tackling the generative learning trilemma with denoising diffusion GANs,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Efficiency without Compromise: CLIP-aided Text-to-Image GANs with Increased Diversity
SCAD adapts Slicing Adversarial Networks and dual expert discriminators to CLIP-aided text-to-image GANs, improving per-prompt diversity (mPPD) and zero-shot FID over GALIP at similar or lower training cost.