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English(EN) RADIANT: Object-Centric Feed-Forward Global Illumination

RADIANT架构推进面向对象的全局光照渲染

研究人员开发了RADIANT,一种新颖的面向对象的神经Transformer架构,用于3D场景中的前馈全局光照。与之前将单个三角形进行分块的Transformer渲染器不同,RADIANT使用有限数量的表面块标记来表示每个对象,将注意力序列长度与网格分辨率解耦。这种方法显著降低了计算成本和训练时间,在一个大型基准数据集上取得了最先进的结果,并且训练步数远少于现有方法。 AI

影响 这种面向对象的方法可能带来更高效、可扩展的复杂3D环境实时渲染。

排序理由 该集群描述了一篇关于3D场景渲染新架构的最新研究论文。[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 →

RADIANT架构推进面向对象的全局光照渲染

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该集群描述了一篇关于3D场景渲染新架构的最新研究论文。[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) · Sarah Zhang, Zhiyang Dou, Minghao Guo, Benjamin Tod Jones, Wojciech Matusik ·

    RADIANT: 以物体为中心的前馈全局光照

    arXiv:2610.32075v1 Announce Type: new Abstract: Feed-forward neural renderers synthesize global illumination across novel 3D scenes without per-scene optimization or runtime ray tracing. Existing transformer-based renderers tokenize individual triangles, so self-attention scales …