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English(EN) Any3R: Feedforward 3D Reconstruction from Any Camera Type

Any3R模型无需重新训练即可从任意相机类型重建三维

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Any3R，这是一种新颖的前馈模型，能够从任何中心相机拍摄的图像进行三维重建。与依赖针孔相机假设的先前模型不同，Any3R将位置编码和训练损失条件化为密集光线场，该光线场描述了任何中心相机，而无需镜头特定的参数。这种方法使Any3R能够应对混合相机类型的场景，并在基准测试中始终获得高精度，从而能够从多样化、众包和存档的图像集合中进行可扩展的三维重建。 AI

影响 能够从多样化、众包和存档的图像集合中进行可扩展的三维重建。

排序理由 介绍新型计算机视觉模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Any3R模型无需重新训练即可从任意相机类型重建三维

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介绍新型计算机视觉模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jingong Chen, Qingwen Zhang, Youming Deng, Chulwoo Pack, Olaf Wysocki, Boris Jutzi, Kwanghee Won, Kyle Gao ·

    Any3R：任意相机类型的前馈三维重建

    arXiv:2610.36150v1 Announce Type: new Abstract: Geometry foundation models recover camera poses and dense geometry from a set of images with a feed-forward network, but they expect pinhole images. That assumption is inside the backbone too: the positional encoding and the trainin…

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