研究人员开发了Home3D 1.0，一个能够从单张图像为室内设计和电子商务生成高保真3D资产的系统。该系统包含四个模块，分别处理几何重建、纹理预测、材质检索和语义部件生成。另外一项研究引入了GenMF，一个用于单色制造的3D资产精炼框架，通过平衡外观保持性和结构稳健性，并结合了应力感知正则化技术。 AI
影响 这些进展可以简化设计和制造的3D资产创建过程，可能对电子商务和实体产品开发产生影响。
排序理由 该集群包含两篇不同的研究论文，详细介绍了用于3D资产生成和精炼的新系统和框架。
AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →
arXiv:2606.27923v1 Announce Type: cross Abstract: We present Home3D 1.0, a modular image-to-3D generation system that produces high-quality 3D assets from a single reference image, targeting interior design and e-commerce applications. Given a photograph of a furniture or decor i…
We present Home3D 1.0, a modular image-to-3D generation system that produces high-quality 3D assets from a single reference image, targeting interior design and e-commerce applications. Given a photograph of a furniture or decor item, the system outputs a mesh with physically-bas…
arXiv:2606.26850v1 Announce Type: cross Abstract: Recent advances in 3D mesh generation have enabled the creation of visually realistic assets. However, much of their visual fidelity is encoded in textures rather than geometry. When such assets are fabricated using monochromatic …
Recent advances in 3D mesh generation have enabled the creation of visually realistic assets. However, much of their visual fidelity is encoded in textures rather than geometry. When such assets are fabricated using monochromatic materials, texture information is largely lost, ca…