SF3D is a deep learning-based 3D asset generation model that can quickly generate textured 3D models with UV expansion and material parameters from a single picture. Compared with traditional methods, SF3D is specially trained for mesh generation, integrating fast UV expansion technology, which can quickly generate textures instead of relying on vertex colors. In addition, the model can learn material parameters and normal maps to improve the visual quality of the reconstruction model. SF3D also introduces a de-illumination step to effectively remove low-frequency lighting effects and ensure that the reconstructed grid is easy to use under new lighting conditions.
Demand population:
" SF3D is suitable for designers, game developers, and 3D artists who need to quickly generate 3D models. It significantly improves the efficiency of 3D modeling, reduces the time and cost of manual modeling while maintaining the high quality of the model."
Example of usage scenarios:
Designers use SF3D to generate 3D models from product images for virtual presentation or design verification.
Game developers use SF3D to quickly generate in-game environments and object models.
3D artists use SF3D to convert traditional artwork into 3D forms for digital exhibitions or virtual reality experiences.
Product Features:
Quickly generate 3D models from single images
UV expansion technology quickly generates texture
Learn material parameters and generate normal maps
Remove low-frequency lighting effects and adapt to different lighting conditions
The generated model has high visual quality
Tutorials for use:
1. Visit SF3D 's official website.
2. Select a picture that needs to be converted to a 3D model.
3. Click the model generation button and wait for SF3D to process the picture.
4. View the generated 3D model and make necessary adjustments.
5. Download or use the generated 3D model directly.