3D & Spatial

The frontier of AI creation extends beyond 2D imagery into three-dimensional and spatial generation. These technologies bridge the gap between image generation and physical design or virtual environments.

  • Point-E: Creates 3D point clouds from text descriptions.
  • Shap-E: Generates 3D shapes and textured meshes from prompts.
  • DreamFusion: Synthesizes 3D models using 2D diffusion models.
  • Magic3D: High-resolution 3D content creation from text prompts.
  • GET3D: Generates diverse, high-quality textured 3D meshes.
  • NeRF (Neural Radiance Fields): Creates 3D scenes from multiple 2D images.
  • 3D Gaussian Splatting: Fast, high-quality novel view synthesis technique.

These technologies are transforming concept art, product visualization, architectural design, and game development by dramatically accelerating the creation of 3D assets. While the outputs often require refinement in traditional 3D software, they provide powerful starting points that can save hours or days of modeling work.