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Author

O. Sorkine-Hornung

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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
Open access Aug 2026

MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds

This work introduces stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content, the temporal structure, and style and develops a diffusion‐based motion generator that enables fine‐grained control over semantic, temporal, and stylistic aspects of motion.

Jingyuan Li, Peizhuo Li, A. Aristidou et al. · 0 citations