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Français(FR) CoLa3D: Composable Latent 3D Decomposition

CoLa3D模型提供三维场景分解新方法

研究人员开发了CoLa3D,一种用于将三维场景分解为单个物体网格的新型基于Transformer的模型。与先前分别生成对象然后重新组合的方法不同,CoLa3D在共享的整个场景潜在空间中运行,确保了更好的空间一致性和对象质量。该模型在合成和真实世界数据集上均表现出最先进的性能,速度更快,并且比SAM 3D等现有方法需要更少量的训练数据。 AI

影响 这项研究引入了一种新的三维场景分解方法,可以提高三维内容创作的效率和一致性。

排序理由 该集群描述了一篇介绍三维场景分解新颖模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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

CoLa3D模型提供三维场景分解新方法

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该集群描述了一篇介绍三维场景分解新颖模型的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 Français(FR) ·

    CoLa3D: Composable Latent 3D Decomposition

    We introduce CoLa3D, a simple and effective model for composable 3D scene decomposition that, given a single whole-scene latent from either a single image or an existing scene mesh as input, directly outputs a set of object meshes with consistent spatial layout that can be assemb…