team VOXEL presenting our 3D reconstruction framework at UF AI Days 2025

This week, our team successfully finalized and presented our poster at the UF AI Days Showcase, where we summarized our comparative study of NeRF variants. During the presentation, we highlighted the strengths and limitations of each model. For use cases requiring faster reconstruction, we recommended alternative NeRF variants optimized for speed while maintaining reasonable quality.

We are now successfully concluding Phase 1 of our project, which encompasses the end-to-end workflow from scene segmentation to NeRF-based 3D reconstruction. Testing and evaluation are actively in progress, and the initial results are highly promising. Our current system demonstrates strong structural fidelity and visual accuracy, consistently generating precise 3D reconstructions.

We have observed a notable improvement in both processing speed and model compactness compared to previously established methods. Specifically, the time required for both preparatory steps and core training has been significantly reduced. These strong outcomes strongly indicate that our core development, the adaptive densification and pruning strategy is highly effective. It successfully strikes a fine balance between computational efficiency and superior accuracy while ensuring the resulting model remains well optimized.

Overall, this week marks a major milestone as we transition from model development to full system integration and evaluation. In the next phase, we plan to extend testing to segmented, mobile-captured objects and explore alternative reconstruction techniques such as DUSt3R, aiming to further enhance both reconstruction quality and runtime performance.