Coupling Quality
Cross-source consensus on Coupling Quality from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Risks & contraindications
Highlighted claims
- Coupling quality is the principal bottleneck of Rectified Flow, ahead of training capacity, loss design, or inference budget. — Divergence-Suppressing Couplings for Rectified Flow
- Coupling distortion propagates across reflow rounds because each Euler integrator traverses regions of nonzero divergence, producing bent trajectories that become the next round's training signal. — Divergence-Suppressing Couplings for Rectified Flow
- Clean couplings are the key resource for improving few-step and single-step flow generation, more important than additional training or stronger inference-time solvers. — Divergence-Suppressing Couplings for Rectified Flow
- The offline correction has a favourable cost profile for deployment-constrained settings because the improvement is purchased once during data generation while inference cost is unchanged. — Divergence-Suppressing Couplings for Rectified Flow