2026
EasyTune: Efficient Step-Aware Fine-Tuning for Diffusion-Based Motion Generation
ICLR 2026poster
In recent years, motion generative models have undergone significant advancement, yet pose challenges in aligning with downstream objectives. Recent studies have shown that using differentiable rewards to directly align the preference of diffusion models yields promising results. However, these meth…