  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
