Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationhttps://fantasia3d.github.io/

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

🌟Introducing Fantasia3D: Disentangling Geometry & Appearance for High-quality Text-to-3D Content Creation! 🎨✨ This tool's disentangled framework enhances rendering & enables flexible 3D asset creation. Outperforming existing methods, it's a game-changer for AI-generated 3D assets! 🚀 #AI #3D

  • Key advancement: Fantasia3D proposes disentangled modeling of geometry and appearance for high-quality text-to-3D content creation.
  • Existing methods couple geometry and appearance, hindering finer geometries and realistic rendering.
  • Fantasia3D introduces a hybrid scene representation for geometry learning and spatially varying BRDF for appearance modeling.
  • The disentangled framework enhances compatibility with graphics engines, enabling relighting, editing, and physical simulation of 3D assets.
  • Fantasia3D outperforms existing methods in generating high-quality 3D assets from text prompts.
  • User-guided generation feature allows customization of 3D models for flexible asset creation.
  • Method involves DMTET for geometry modeling, initializing as a 3D ellipsoid, and employing SDS loss for supervision.
  • Appearance modeling introduces spatially varying BRDF components, kd, krm, and kn, for rendering realistic surfaces.
  • BibTeX reference for the Fantasia3D paper is provided for citation.