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Preprint Sep 2026

UnStep: Training-Free Acceleration of Causal Video Diffusion with Fewer Steps Than Distillation

Distilling bidirectional multi-step video diffusion transformers into few-step causal models has become a common approach for streaming video generation. While these few-step students are significantly faster than the teachers they are distilled from, they remain slow for real-time generation. In this work we present U...

Youssef Mansour, Enis Simsar, F. Sener et al. · 0 citations
Jul 2026

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction

This work proposes TrustCLIP, a reconstruction-driven framework that treats a feature-conditioned generator as an explicit privacy adversary and learns a projection between encoder features and downstream modules that is explicitly optimized to degrade the reconstructions produced by generative attackers while retainin...

Nikos Athanasiou, Ilya A. Petrov, Angela Yao et al. · 0 citations

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