English(EN) Zero-Shot Novel Depth Synthesis Using 3D Foundation Models Scene Representations

新的Z3D方法使用3D基础模型合成深度图

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

研究人员开发了Z3D，一种利用3D基础模型（3DFMs）合成未知视图深度图的新颖方法。该方法利用了VGGT-Ω等模型学到的内部表示，并假设这些模型获得了关于3D场景的广泛通用知识。Z3D利用这些内部表示上的潜在扩散来预测各种数据集上的逼真深度图，展示了3DFMs在其主要任务之外的潜力。 AI

影响这项研究展示了3D基础模型的一项新能力，可能为更高级的3D重建和场景理解应用提供支持。

排序理由该集群描述了学术论文中提出的一种使用现有3D基础模型进行深度合成的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Denis M. Akola, David F. Fouhey · 2026-09-04 04:00

使用3D基础模型场景表示进行零样本新颖深度合成

arXiv:2609.04174v1 Announce Type: new Abstract: 3D Foundation Models (3DFMs) such as VGGT have recently pushed the boundaries of 3D vision by predicting rich unified representations with feed-foward transformers. The scene representations learned by these models enable strong per…