CARINOX unifies noise optimization and exploration with human-correlated reward selection to boost compositional alignment in diffusion models, reporting +16% on T2I-CompBench++ and +11% on HRS while keeping quality and diversity.
Enhancing semantic fidelity in text-to-image synthesis: Attention regulation in diffusion models.CoRR, abs/2403.06381, 2024a
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CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration
CARINOX unifies noise optimization and exploration with human-correlated reward selection to boost compositional alignment in diffusion models, reporting +16% on T2I-CompBench++ and +11% on HRS while keeping quality and diversity.