DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction

• URL: http://arxiv.org/abs/2605.26629v1
• Date: Tue, 26 May 2026 07:05:10 GMT
• Title: DelowlightSplat: Feed-Forward Gaussian Splatting for Lowlight 3D Scene Reconstruction
• Abstract summary: We propose DelowlightSplat, a lowlight-aware feed-forward Gaussian splatting framework for clean novel-view rendering.<n>We build a controllable multi-view lowlight benchmark by degrading only context views while keeping target views clean.<n> Experiments show that DelowlightSplat significantly outperforms previous feed-forward method and two-stage pipeline under lowlight conditions.
• Score: 6.257560917160816
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Novel-view synthesis and 3D reconstruction from sparse posed images are central to robotics and AR/VR. Yet, feed-forward 3D Gaussian reconstruction fails under lowlight due to noise, color shifts, and unreliable correspondence. We propose DelowlightSplat, a lowlight-aware feed-forward Gaussian splatting framework for clean novel-view rendering. We build a controllable multi-view lowlight benchmark by degrading only context views while keeping target views clean. We introduce a lightweight Lowlight Adapter for residual enhancement to improve matchability, and couple it with cost-volume-based multi-view inference to directly predict clean 3D Gaussians. Experiments show that DelowlightSplat significantly outperforms previous feed-forward method and two-stage pipeline under lowlight conditions.

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