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Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
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2026-02-28 18:10:19
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Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation Jingxi Chen 1 , Brandon Y. Feng 2 , Haoming Cai 1 , Tianfu Wang 1 , Levi Burner 1 , Dehao Yuan 1 , Cornelia Fermüller 1 , Christopher A. Metzler 1 , Yiannis Aloimonos 1 1 University of Maryland, College Park, 2 Massachusetts Institute of Technology CVPR, 2025 arXiv Code Abstract Video Frame Interpolation aims to recover realistic missing frames between observed frames, generating a high-frame-rate video from a low-frame-rate video. However, without additional guidance, large motion between frames makes this problem ill-posed. Event-based Video Frame Interpolation (EVFI) addresses this challenge by using sparse, high-temporal-resolution event measurements as motion guidance. This guidance allows EVFI methods to significantly outperform frame-only m...
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