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NTIRE 2026 challenge showcases robust 3D reconstruction under adverse conditions

By PulseAugur Editorial · [1 sources] ·

This paper details the results of the NTIRE 2026 3D Restoration and Reconstruction Challenge, which focused on developing robust 3D reconstruction methods for challenging real-world conditions like low light and smoke. The competition attracted 279 registered participants, with 33 teams submitting valid results. The analysis of these submissions revealed significant advancements in handling degraded 3D scenes and identified common strategies employed by the top-performing teams. AI

IMPACT Advances in 3D reconstruction under adverse conditions could improve applications in robotics, autonomous driving, and augmented reality.

RANK_REASON This is a research paper detailing the results of a challenge and benchmark.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NTIRE 2026 challenge showcases robust 3D reconstruction under adverse conditions

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Shuhong Liu, Chenyu Bao, Ziteng Cui, Xuangeng Chu, Bin Ren, Lin Gu, Xiang Chen, Mingrui Li, Long Ma, Marcos V. Conde, Radu Timofte, Yun Liu, Ryo Umagami, Tomohiro Hashimoto, Zijian Hu, Yuan Gan, Tianhan Xu, Yusuke Kurose, Tatsuya Harada, Junwei Yuan, Geng ·

    NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

    arXiv:2604.04135v2 Announce Type: replace Abstract: 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 ar…

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