BridgeTwist: Twisting Schr\"odinger Bridges for Training-Free Conditional Sampling
Generative models are often required to serve many downstream conditional tasks. In the training-free setting, a pretrained unconditional model is reused as a prior and combined with a task-specific likelihood to sample from the corresponding posterior. While such training-free samplers have been developed for diffusio...