PAST reduces the computational cost of RL fine-tuning for diffusion models by adding an intrinsic denoising reward and adaptively terminating episodes when denoising and semantic alignment are achieved.
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PAST: Prompt-Adaptive Sampling Termination for Efficient Diffusion Model
PAST reduces the computational cost of RL fine-tuning for diffusion models by adding an intrinsic denoising reward and adaptively terminating episodes when denoising and semantic alignment are achieved.