Author

S. Chatzis

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Preprint Oct 2026

High-Throughput Generative Video Super-Resolution on a Single Consumer GPU

Generative video super-resolution (VSR) can recover visually compelling high-frequency detail by leveraging diffusion priors, but iterative sampling and heavy spatio-temporal coupling make practical deployments difficult. We study a different operating point: practical HD generative VSR on a single high-end consumer GP...

Georgios Panaretou, S. Chatzis · 0 citations

Preprint Oct 2026

Streaming-Aware Diffusion for Real-Time Video Super-Resolution via Cross-Step Attention

Real-time video super-resolution requires high spatio-temporal fidelity under strict latency constraints, challenging diffusion models due to their iterative sampling cost and limited temporal coordination. We propose a streaming-aware framework that adapts pretrained single-image latent diffusion models for efficient...

Harris Partaourides, S. Chatzis · 0 citations

Preprint Aug 2026

L\'evy Attention: Single-Pass Predictive Uncertainty for Continuous-Time Attention

This work shows the attention layer itself can close that gap between deep models for irregularly-sampled time series answer queries at arbitrary continuous timestamps: with the right stochastic formulation, the pass that makes each prediction also reports how far it should be trusted.

S. Chatzis, Loukas Papadoulas · 0 citations