Leveraging Inference-Time Compute for Diffusion Models via Global Scheduling of Denoising Trajectories

Diffusion models generate a sample by traversing a denoising trajectory, a sequence of stochastic noise-reduction steps that transforms pure noise into a draw from a target distribution. At deployment time, additional computation can improve sample quality without retraining: at each step, the sampl