Accelerating Flow-based Models: Joint Distillation for Efficient Inference

This ArXiv paper explores improvements in the efficiency of flow-based models, which are known for their strong generative capabilities. The focus on joint distillation suggests a novel approach to address computational bottlenecks in likelihood evaluation and sampling.