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English(EN) VoxLution: Evolving Voxels for High-Fidelity 3D Scene Generation

VoxLution 使用基于 Transformer 的方法生成高保真 3D 室内场景

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 VoxLution，一种用于生成高保真 3D 室内场景的新型基于 Transformer 的方法。该方法采用粗到精的策略，解决了现有模型中几何形状过于平滑的常见问题。VoxLution 首先建立低分辨率的空间布局，然后逐步局部细化场景的几何形状。它将 3D 超分辨率视为一个序列建模问题，为稀疏体素网格使用独特的标记方案，从而能够生成更精细的细节，并在 3D-FRONT 和 Scannet++ 等基准测试中取得最先进的性能。 AI

影响 该方法可以显著提高虚拟现实、空间计算和机器人模拟的真实感和细节。

排序理由 该集群描述了一篇关于新颖 3D 场景生成方法的新研究论文。[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 →

VoxLution 使用基于 Transformer 的方法生成高保真 3D 室内场景

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该集群描述了一篇关于新颖 3D 场景生成方法的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Daoyi Gao, Xinyi Zhang, Alexey Bokhovkin, Lei Li, Angela Dai ·

    VoxLution: Evolving Voxels for High-Fidelity 3D Scene Generation

    arXiv:2610.41501v1 Announce Type: new Abstract: High-resolution 3D indoor scene generation is crucial for immersive applications such as virtual reality, spatial computing, and robotics simulation. We introduce VoxLution, a coarse-to-fine transformer-based approach that generates…

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