Preprint
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.
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