Author

Tianfan Xue

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Preprint Oct 2026

VDOT++: Unified Few-Step Video Generation via Unbalanced Optimal Transport Distillation

Video creation spans text-to-video (T2V), image-to-video (I2V), and condition-based generation, yet video diffusion models remain costly because they repeatedly evaluate large backbones during sampling. Distribution matching distillation (DMD) reduces this cost, but its reverse Kullback--Leibler (KL) objective can prov...

Yu-Tong Wang, Xing-Tong Ge, En-Huai Liu et al. · 0 citations

Jul 2026

RealVDeblur: One-Step Diffusion for Generalizable Real-World Video Deblurring

An efficient generative framework designed to improve in-the-wild robustness under diverse real capture conditions and demonstrate strong perceptual quality, semantic fidelity, and temporal consistency on unseen videos, as well as improved robustness in downstream 3D reconstruction under severe motion blur.

Renbiao Jin, Ming-Hsuan Yang, Yutian Chen et al. · arXiv.org · 0 citations