SF3D is a deep learning-based 3D asset generation model that can rapidly create textured 3D models with UV mapping and material parameters from a single image. Unlike traditional methods, SF3D is specifically trained for mesh generation, integrating rapid UV mapping technology to generate textures directly rather than relying on vertex colors. Furthermore, this model learns material parameters and normal maps to improve the visual quality of the reconstructed model. SF3D also incorporates a de-lighting step to effectively remove low-frequency lighting effects, ensuring that the reconstructed mesh is easy to utilize under new lighting conditions.