Joint Alignment and Distillation for Video Generation via Sample-Guided Distribution Matching
DM-Align is introduced, which derives a complementary gradient direction to guide the model toward human-preferred samples, and eliminates the need for multi-step reward evaluation and complex ODE-SDE conversions inherent in traditional RL.