Generate 3D models of various objects
Create a recursive 3D DNA strand visualization
Generate 3D scenes with dynamic lighting and shapes
Explore Minnesota in a 3D VR environment
Gradio Demo of DI-PCG
Explore maps in a virtual reality scene
Create a 3D scene with spinning lights and random torus knots
Sparse-view SFM-free Gaussian Splatting in Seconds
Interactively rotate a 3D green cube in your browser
Text-to-3D and Image-to-3D Generation
Explore and vote on 3D arenas in a leaderboard
Create 3D recursive polygons and mathematical functions in a virtual environment
Create interactive 3D scenes with torus knots
SDF StyleGan 3D is an advanced 3D modeling tool that leverages Signed Distance Functions (SDF) and StyleGAN architectures to generate high-quality 3D models of various objects. By combining the power of SDF, which excels at representing complex 3D shapes, with the generative capabilities of StyleGAN, this tool enables users to create detailed and realistic 3D models efficiently.
What types of objects can SDF StyleGan 3D generate?
SDF StyleGan 3D can generate a wide variety of 3D objects, from simple shapes to complex structures, depending on the training data and parameters.
How can I customize the output of SDF StyleGan 3D?
You can customize the output by adjusting the latent space parameters, such as resolution, style, and other settings during the generation process.
What is the advantage of using SDF in this tool?
The use of SDF allows for accurate and efficient representation of 3D shapes, enabling high-quality and detailed model generation.