Draft-and-Target Sampling for Video Generation Policy

ArXi:2603.13438v1 Announce Type: cross Video generation models have been used as a robot policy to predict the future states of executing a task conditioned on task description and observation. Previous works ignore their high computational cost and long inference time. To address this challenge, we propose Draft-and-Target Sampling, a novel diffusion inference paradigm for video generation policy that is