DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models

arXiv:2606.00798 · cs.CV, cs.AI, cs.LG · Submitted 2026-05-30 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-05-30

Updated: 2026-08-29

Code: https://github.com/C-loud-Nine/DASH_Dual-Branch-Score-Distillation

Terminology

Distillation — 91× in this paper · explained in 2 episodes
Calibration — 28× in this paper · explained in 7 episodes
Diffusion Model — 16× in this paper · explained in 8 episodes
Ablation — 15× in this paper · explained in 1 episode
Diffusion Models — 15× in this paper · explained in 6 episodes
Fidelity — 5× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Core — 3× in this paper · explained in 2 episodes
Generative Model — 3× in this paper · explained in 2 episodes
Generative Models — 3× in this paper · explained in 2 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Distribution Matching — 2× in this paper · explained in 2 episodes
Knowledge Distillation — 2× in this paper · explained in 11 episodes
Transformer — 2× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Alignment — 1× in this paper · explained in 1 episode
Anchor Loss — 1× in this paper · explained in 1 episode
Clustering — 1× in this paper · explained in 2 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Latent Diffusion Model — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Nash Equilibrium — 1× in this paper · explained in 2 episodes
Robustness — 1× in this paper · explained in 5 episodes
Timestep-Importance Rebalanced Training — 1× in this paper

Sources

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Terminology

Sources

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