BOOSTING TEXT-TO-IMAGE MODELS WITH RENO

Summary from the TLDR AI newsletter

Reward-based Noise Optimization (ReNO) is a new approach to enhance Text-to-Image (T2I) models during inference that optimizes the initial noise using signals from human preference reward models.