SF3D:利用 UV 解包和照明解缠实现稳定的快速 3D 网格重构

Mark Boss, Zixuan Huang, Aaryaman Vasishta, Varun Jampani
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引用次数: 0

摘要

我们介绍的 SF3D 是一种新型方法,可在 0.5 秒内从单张图像快速、高质量地重建物体纹理网格。与大多数现有方法不同的是,SF3D 在生成网格时进行了明确的训练,并结合了快速 UV 解包技术,从而能够快速生成纹理,而不是依赖顶点颜色。该方法还能学习预测材料参数和法线贴图,以提高重建三维网格的视觉质量。此外,SF3D 还集成了一个愉悦步骤,以有效消除低频光照效应,确保所构建的网格能在新的光照条件下轻松使用。项目页面: https://stable-fast-3d.github.io
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
We present SF3D, a novel method for rapid and high-quality textured object mesh reconstruction from a single image in just 0.5 seconds. Unlike most existing approaches, SF3D is explicitly trained for mesh generation, incorporating a fast UV unwrapping technique that enables swift texture generation rather than relying on vertex colors. The method also learns to predict material parameters and normal maps to enhance the visual quality of the reconstructed 3D meshes. Furthermore, SF3D integrates a delighting step to effectively remove low-frequency illumination effects, ensuring that the reconstructed meshes can be easily used in novel illumination conditions. Experiments demonstrate the superior performance of SF3D over the existing techniques. Project page: https://stable-fast-3d.github.io
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