Fast Low-light Enhancement and Deblurring for 3D Dark Scenes

• URL: http://arxiv.org/abs/2603.08133v1
• Date: Mon, 09 Mar 2026 09:11:35 GMT
• Title: Fast Low-light Enhancement and Deblurring for 3D Dark Scenes
• Abstract summary: We introduce FLED-GS, a fast low-light enhancement and deblurring framework that reformulates 3D scene restoration as an alternating cycle of enhancement and reconstruction.<n>Experiments show FLED-GS outperforms state-of-the-art LuSh-NeRF, achieving 21$times$ faster training and 11$times$ faster rendering.
• Score: 52.48996928600807
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Novel view synthesis from low-light, noisy, and motion-blurred imagery remains a valuable and challenging task. Current volumetric rendering methods struggle with compound degradation, and sequential 2D preprocessing introduces artifacts due to interdependencies. In this work, we introduce FLED-GS, a fast low-light enhancement and deblurring framework that reformulates 3D scene restoration as an alternating cycle of enhancement and reconstruction. Specifically, FLED-GS inserts several intermediate brightness anchors to enable progressive recovery, preventing noise blow-up from harming deblurring or geometry. Each iteration sharpens inputs with an off-the-shelf 2D deblurrer and then performs noise-aware 3DGS reconstruction that estimates and suppresses noise while producing clean priors for the next level. Experiments show FLED-GS outperforms state-of-the-art LuSh-NeRF, achieving 21$\times$ faster training and 11$\times$ faster rendering.

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