AI RESEARCH
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
arXiv CS.CV
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ArXi:2603.08313v1 Announce Type: new Radiance of real-world scenes typically spans a much wider dynamic range than what standard cameras can capture. While conventional HDR methods merge alternating-exposure frames, these approaches are inherently constrained to 2D pixel-level alignment, often leading to ghosting artifacts and temporal inconsistency in dynamic scenes. To address these limitations, we present HDR-NSFF, a paradigm shift from 2D-based merging to 4D spatio-temporal modeling.