3D Reconstruction and Generation Models

Traditional 3D creation is labor-intensive (manual modeling, photogrammetry). Modern models automate:

• From Sparse Inputs: Single images or text to full 3D scenes.
• Multi-Representation Outputs: Point clouds, meshes, normals, and splats for diverse uses.
• Real-Time Capability: Feed-forward inference in seconds, not hours.
• Simulation-Ready: Accurate geometry, textures, and materials for physics engines.

Challenges Addressed:

• View Sparsity: Reconstruct from one or few views.
• Consistency: Maintain coherence across views and modalities.
• Scalability: Handle complex scenes (e.g., worlds with multiple objects).

Applications:

• Game asset creation.
• Architectural visualization.
• Autonomous vehicle training data.
• Virtual production in film.