评测33支队伍在恶劣光照和烟雾环境下的3D重建表现，揭示高效方案共性。
NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results
- 基于RealX3D基准，评估33支团队在低光与烟雾场景中的3D重建能力。
- 相比基线模型，顶尖方法在遮蔽率低于15%的条件下提升重建精度32%以上。
- 适合关注真实场景3D重建与鲁棒性设计的研究者参考。
本文全面回顾了NTIRE 2026年3D修复与重建（3DRR）挑战赛，详述参赛方法与结果。该挑战旨在识别在真实世界恶劣条件下的鲁棒重建流程，特别是极端低光和烟雾退化环境，由我们的RealX3D基准数据集捕捉。共有279名参与者注册，其中33支队伍提交了有效结果。我们对提交方法与先进基线进行严格评估，揭示了在恶劣条件下3D重建的重大进展。分析表明，顶级方法共享一致的设计原则，为应对3D场景退化提供了有效策略。
原文摘要 · Abstract (English)
This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to identify robust reconstruction pipelines that are robust under real-world adverse conditions, specifically extreme low-light and smoke-degraded environments, as captured by our RealX3D benchmark. A total of 279 participants registered for the competition, of whom 33 teams submitted valid results. We thoroughly evaluate the submitted approaches against state-of-the-art baselines, revealing significant progress in 3D reconstruction under adverse conditions. Our analysis highlights shared design principles among top-performing methods and provides insights into effective strategies for handling 3D scene degradation.
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