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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

O. Sorkine-Hornung

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Preprint Open access Sep 2026

SyntheticDoc: A Large Synthetic Dataset for Document Unwarping and Illumination Correction

Deep learning models have become the standard tool for document rectification and illumination correction, yet their performance is fundamentally bound by their training data. For nearly a decade, the community has heavily relied on Doc3D, a pioneering but increasingly limited document unwarping dataset in terms of sca...

Daniel Woortmann, Tanguy Magne, O. Sorkine-Hornung · 0 citations
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.

Jing-Yuan Li, Peizhuo Li, A. Aristidou et al. · 0 citations

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