Stability AI Research 09月19日
0.5秒内单图高质重建3D纹理模型
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本文提出了一种名为SF3D的新方法,可在0.5秒内从单张图像中快速且高质量地重建纹理对象网格。该方法针对网格生成进行显式训练,结合快速UV展开技术,通过预测材质参数和法线图来提升重建3D网格的视觉效果,并有效去除低频照明效应。

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.

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3D重建 纹理网格 快速生成 SF3D方法
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