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

NTIRE 2026挑战赛展示了在恶劣条件下鲁棒的3D重建能力

作者 PulseAugur 编辑部 · [1 个来源] ·

本文详细介绍了NTIRE 2026 3D恢复与重建挑战赛的结果，该挑战赛专注于开发用于处理低光照和烟雾等严峻真实世界条件的鲁棒3D重建方法。该竞赛吸引了279名注册参与者，其中33支队伍提交了有效结果。对这些提交的分析揭示了在处理退化3D场景方面的重大进展，并确定了表现最佳的队伍所采用的通用策略。 AI

影响 在恶劣条件下3D重建技术的进步可能改进机器人、自动驾驶和增强现实等领域的应用。

排序理由 这是一篇关于挑战赛和基准测试结果的研究论文。

在 arXiv cs.CV 阅读 →

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NTIRE 2026挑战赛展示了在恶劣条件下鲁棒的3D重建能力

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这是一篇关于挑战赛和基准测试结果的研究论文。
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报道来源 [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 真实世界恶劣条件下的三维恢复与重建：RealX3D挑战赛结果

    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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