CFG-NeRF: coordinate-feature-gate collaborative optimization for sparse-view ancient architecture reconstruction

Puntos clave

• The method achieves superior accuracy in 3D modeling, significantly enhancing the reconstruction of ancient structures.
• Achieved a 25% improvement in the accuracy of architecture reconstructions from sparse-view data.
• Analysis using coordinate-feature-gate collaborative optimization techniques with advanced algorithms.
• Highlights the potential for improved digital heritage preservation based on enhanced reconstruction capabilities.