One-Step Generation
Deep Learning
Generative Models
The frontier of single-step generative models (from Flow Matching to Drifting Models)
Between 2025 and 2026, methods that overcome the multi-step inference of diffusion models and Flow Matching to generate high-quality images with a single network evaluation (1-NFE) have been rapidly advancing. This series curates four papers driving this field, tracing the technical evolution from extensions of Flow Matching to entirely new paradigms.