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English(EN) Luce: Relightable Gaussians for 3D Asset Generation

Apple发布Luce,用于高保真3D资产生成

Apple Machine Learning Research推出了Luce,一种新颖的3D资产生成系统,它将几何体和基于物理的渲染(PBR)材质统一在一个体素化的多模态高斯云中。通过整合反照率、金属度-粗糙度以及表面法线等模态,这种表示方法允许进行重照明并集成到标准的渲染管线中。Luce利用变分自编码器和整流流Transformer从单个图像生成这些PBR高斯,在Toys4K基准测试上取得了最先进的成果,FID提高了28%,并提升了CLIP图像对齐分数。 AI

影响 这项研究可能推动游戏、电影和虚拟环境中逼真3D资产的创建。

排序理由 该集群描述了一篇详细介绍新颖3D资产生成方法的研究论文。

在 arXiv cs.AI 阅读 →

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Apple发布Luce,用于高保真3D资产生成

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报道来源 [3]

  1. Apple Machine Learning Research TIER_1 English(EN) ·

    Luce: 用于 3D 资产生成的重照明高斯模型

    High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include physically based rendering (PBR) modalities such as albedo, met…

  2. arXiv cs.AI TIER_1 English(EN) · Mayank Singh, Michele Stoppa, Alvise Memo, Rui Yu, Harsha Kalli, Srimanth Gunturi, Muhammad Ahmed Riaz, Behrooz Shahsavari, Waleed Abdulla, David E. Jacobs ·

    Luce: 用于 3D 资产生成的重照明高斯

    arXiv:2608.23943v1 Announce Type: cross Abstract: High-fidelity image-to-3D generation requires a 3D representation that captures both geometry and appearance. To support relighting and integration into standard rendering pipelines, the representation should include physically ba…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Luce: 用于 3D 资产生成的重照明高斯模型

    Luce unifies geometry and PBR materials in a voxelized Gaussian cloud, using a variational autoencoder and rectified-flow transformer to generate relightable 3D assets from single images.