AI RESEARCH
A unified Benchmark for Multi-Frame Image Restoration under Severe Refractive Warping
arXiv CS.CV
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ArXi:2605.05079v1 Announce Type: new Video sequence capturing through refractive dynamic media, such as a turbulent air or water surface, often suffer from severe geometric distortions and temporal instability. While recent advances address mild atmospheric turbulence, no existing benchmarks systematically evaluate restoration methods under strong and highly nonuniform refractive conditions. We present a comprehensive benchmark for geometric distortion removal in video, covering a range from turbulence-like mild warping to strong discontinuous refractive deformations.