Preprint Open access
Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data
Binary diffusion models typically require a large number of function evaluations (NFEs) to generate high-quality samples, making practical inference computationally expensive. Reducing NFEs while preserving sample quality without distillation or additional training remains a significant challenge. Existing binary diffu …