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cs.CV2026
Faster and Better Alignment for Flow Matching Models via Step-aware Advantages
Zhixiong Yue, Feiyang Ye, Zixuan Ni +2
Recent advances in flow matching models, particularly with reinforcement learning (RL), have significantly enhanced human preference alignment in few-step text-to-image generators.…
cs.CV2024
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions
Anas Awadalla, Le Xue, Manli Shu +13
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthet…