Resumen
This research addresses an essential component in the practical application of NeRF by working toward enhancing the reconstruction efficiency, especially in scenarios without precise pose estimation. The improvements presented in this research underscore its growing potential for real-world deployment. Potential application areas include scenes wherein feature extraction is challenging, such as ceramics from archaeological excavations that are smooth and low-textured, artifacts with repetitive textures, certain repetitive terrains and landforms in Geographic Information Systems (GIS) and remote sensing, among others.