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A. Ichim

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Preprint Jul 2026

Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting

The correction turns simple temperature sampling into a practical diversity knob for pretrained diffusion and flow-matching backbones with no retraining, and consistent gains at minimal cost to sample quality and condition fidelity across DiT, Stable Diffusion and Motion Diffusion models are demonstrated.

Peizhuo Li, Emre Aksan, A. Ichim et al. · 0 citations