Deep Unrolled Graph Laplacian Regularization for Robust Time-of-Flight Depth Denoising
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DOI: 10.1109/lsp.2025.3539908
Abstract: Depth images captured by Time-of-Flight (ToF) sensors are subject to severe noise. Recent approaches based on deep neural networks achieve good depth denoising performance in synthetic data, but the application to real-world data is limited,… read more here.
Keywords: depth denoising; depth; laplacian regularization; graph ... See more keywords