Learning CFG Schedules with GANs and RL: Adversarial Training Returns?
kwangmoo_yi · x · 2026-08-18
Pokle and Galashov et al. propose a method to automatically learn Classifier-Free Guidance (CFG) schedules in image generation using GANs and Reinforcement Learning. As setting the CFG scale is tricky but essential, this approach leverages adversarial learning to find optimal schedules, sparking discussions on the return of adversarial training techniques.
Related event: DeepMind Paper: Adversarial Learning of CFG Guidance Schedules(2 posts)→
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