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English(EN) GHOST: Geometry-Guided Hallucination of Opaque Surface Textures

GHOST框架增强透明物体3D重建

研究人员开发了GHOST,一个旨在提高透明物体深度估计和3D重建的新框架。这种几何引导的预处理方法将透明区域转换为不透明的、结构一致的表示。GHOST利用TransDINO、TransDecomp、DAF-Net和GeoSemTransNet等视觉基础模型来解耦掩码、物理属性和表面法线,最终合成保留物体3D结构的不透明RGB图像。实验表明,GHOST在应用于透明物体时,显著提高了现有深度估计和重建模型的准确性。 AI

影响 通过恢复光度线索,提高了透明物体的3D重建准确性。

排序理由 该集群包含一篇详细介绍计算机视觉新方法的论文。

在 arXiv cs.CV 阅读 →

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GHOST框架增强透明物体3D重建

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Langxu Zhao, Zuan Gu, Tianhan Gao ·

    GHOST: Geometry-Guided Hallucination of Opaque Surface Textures

    arXiv:2607.11118v1 Announce Type: new Abstract: Transparent objects pose a fundamental challenge for depth estimation and 3D reconstruction due to their violation of Lambertian assumptions, leading to severe geometry degradation in downstream tasks. To address this, we propose a …

  2. arXiv cs.CV TIER_1 English(EN) · Tianhan Gao ·

    GHOST: 几何引导的不透明表面纹理幻觉

    Transparent objects pose a fundamental challenge for depth estimation and 3D reconstruction due to their violation of Lambertian assumptions, leading to severe geometry degradation in downstream tasks. To address this, we propose a novel geometry-guided preprocessing framework \t…