In the field of architecture, the conversion of single images into 2 and 1/2D and 3D meshes is a promising technology that enhances design visualization and efficiency. This paper evaluates four innovative methods: "One-2-3-45," "CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model," "Instant Mesh," and "Image-to-Mesh." These methods are at the forefront of this technology, focusing on their applicability in architectural design and visualization. They streamline the creation of 3D architectural models, enabling rapid prototyping and detailed visualization from minimal initial inputs, such as photographs or simple sketches.One-2-3-45 leverages a diffusion-based approach to generate multi-view reconstructions, ensuring high geometric fidelity and texture quality. CRM utilizes a convolutional network to integrate geometric priors into its architecture, producing detailed and textured meshes quickly and efficiently. Instant Mesh combines the strengths of multi-view diffusion and sparse-view models to offer speed and scalability, suitable for diverse architectural projects. Image-to-Mesh leverages a generative adversarial network (GAN) to produce 3D meshes from single images, focusing on maintaining high texture fidelity and geometric accuracy by incorporating image and depth map data into its training process. It uses a hybrid approach that combines voxel-based representations with surface reconstruction techniques to ensure detailed and realistic 3D models.This comparative study highlights each method's contribution to reducing design cycle times, improving accuracy, and enabling flexible adaptations to various architectural styles and requirements. By providing architects with powerful tools for rapid visualization and iteration, these advancements in 3D mesh generation are set to revolutionize architectural practices.

翻译：在建筑学领域，将单幅图像转换为二点五维及三维网格是一项极具前景的技术，能够显著提升设计可视化效果与工作效率。本文评估了四种创新方法："One-2-3-45"、"CRM：基于卷积重建模型的单图像到三维纹理网格生成"、"Instant Mesh"以及"Image-to-Mesh"。这些方法代表了该技术的前沿进展，研究重点在于其在建筑设计与可视化中的适用性。它们简化了三维建筑模型的创建流程，能够基于照片或简单草图等最小化初始输入实现快速原型构建与精细化可视化。One-2-3-45采用基于扩散的方法生成多视角重建，确保高几何保真度与纹理质量。CRM利用卷积网络将几何先验整合到其架构中，快速高效地生成细节丰富的纹理网格。Instant Mesh融合多视角扩散与稀疏视角模型的优势，在速度与可扩展性方面表现突出，适用于多样化的建筑项目。Image-to-Mesh借助生成对抗网络（GAN）从单幅图像生成三维网格，通过将图像与深度图数据纳入训练过程，着力保持高纹理保真度与几何精度。该方法采用混合策略，结合基于体素的表示与表面重建技术，以确保生成细节丰富且真实感强的三维模型。本比较研究揭示了每种方法在缩短设计周期、提升精度以及灵活适应不同建筑风格与需求方面的贡献。通过为建筑师提供强大的快速可视化与迭代工具，这些三维网格生成技术的进步必将推动建筑实践领域的革新。