Tag
Proposes Flow-Map GRPO, an online RL post-training framework for deterministic few-step flow-map generators, introducing Anchored Stochastic Flow Map Composition (ASFMC) to enable stochastic optimization without altering original model parameterization. Experiments on FLUX-based MeanFlow and sCM show improvement across reward-based, perceptual, and task-level metrics.
AnyFlow introduces a novel any-step video diffusion distillation framework that optimizes full ODE sampling trajectories through flow-map transition learning and backward simulation, achieving performance that matches or surpasses consistency-based counterparts while scaling with sampling step budgets.
Proposes a nongradient vector flow method for learning flow maps, likely aimed at improving optical flow or motion estimation tasks.