NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results
This addresses the problem of robust 3D reconstruction in adverse real-world conditions for computer vision applications, but it is incremental as it builds on existing challenge frameworks and methods.
The paper reviewed the NTIRE 2026 3D Restoration and Reconstruction Challenge, which tackled 3D reconstruction in extreme low-light and smoke-degraded conditions using the RealX3D benchmark, with 33 teams submitting results that showed significant progress compared to state-of-the-art baselines.
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.