meanflow

Bio-MF is a one-step generative framework for EEG-to-fNIRS cross-modal generation, enabling low-latency and high-fidelity synthesis for hybrid motor-imagery brain-computer interfaces.

Introduces Discrete MeanFlow, a method for one-step generation in discrete state spaces by learning conditional transition kernels of continuous-time Markov chains, avoiding iterative denoising.

Researchers extend MeanFlow one-step image generation from class labels to flexible text inputs by integrating highly-discriminative LLM-based text encoders, enabling efficient text-conditioned synthesis with improved performance.