Author

Junzhe Wan

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TaylorMoDe-GS: Taylor-Driven Gaussian Splatting Motion Model for Multi-View Dynamic Scene Deblurring

TaylorMoDe-GS, the first 3DGS framework tailored for multi-view dynamic object deblurring, shifts the modeling paradigm from displacement fitting to velocity driven modeling, and introduces a neural Peano remainder network to compensate for high frequency non-linear dynamics.

Xiaofeng Quan, Junzhe Wan, Chao Cai et al. · 0 citations

Jul 2026

ENCORE: Event-Assisted Complementary Motion Refinement for Learned Video Compression

ENCORE, an Event-Assisted Complementary Motion Refinement framework for learned video compression, employs Complementary Motion Representation to decompose aligned RGB-event features into common and modality-specific motion representations and identifies event-specific responses that are active and novel relative to RGB.

Shuhan Ye, Hong Yu, Chenqi Kong et al. · arXiv.org · 0 citations