Reward-Aware Trajectory Shaping for Few-step Visual Generation
arXiv:2604.14910v3 Announce Type: replace
Abstract: Achieving high-fidelity generation in extremely few sampling steps has long been a central goal of generative modeling. Existing approaches largely rely on distillation-based frameworks to compress t…