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Ditching text-based conditioning for visual features in diffusion-based super-resolution unlocks significantly improved structural fidelity and texture realism.
Forget training wheels: RaTA-Tool lets MLLMs pick the right tool for the job in the wild, even if they've never seen it before.
Stop wasting compute on hallucinated images: a new method can detect and correct object omissions in diffusion models *before* they finish generating.
