Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation
Weighted h-Transform Sampling is a training-free method for coarse-guided visual generation that uses Doob’s h-transform to guide sampling. It injects guidance signals by modifying transition probabilities and employs a noise-level aware schedule to control approximation errors, achieving stable, high-quality synthesis without needing paired data or known operators.