Direct-Align and SRPO fine-tune FLUX using ground-truth-noise recovery and text-conditional relative rewards, improving human-evaluated realism and aesthetics roughly 3x.
Sit: Explor- ing flow and diffusion-based generative models with scalable interpolant transformers
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Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
Direct-Align and SRPO fine-tune FLUX using ground-truth-noise recovery and text-conditional relative rewards, improving human-evaluated realism and aesthetics roughly 3x.