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cs.CV2026
EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization
Mattia D'Urso, Christian Sormann, Mattia Rossi +1
We introduce \textbf{Edge-based Pose Optimization (EPO)}, a trackless geometric optimization framework specifically designed to boost the Structure-from-Motion reconstructions gene…
cs.CV2026
TerraSky3D: Multi-View Reconstructions of European Landmarks in 4K
Mattia D'Urso, Yuxi Hu, Christian Sormann +2
Despite the growing need for data of more and more sophisticated 3D reconstruction pipelines, we can still observe a scarcity of suitable public datasets. Existing 3D datasets are…
cs.CV2026
A Streamlined Attention-Based Network for Descriptor Extraction
Mattia D'Urso, Emanuele Santellani, Christian Sormann +3
We introduce SANDesc, a Streamlined Attention-Based Network for Descriptor extraction that aims to improve on existing architectures for keypoint description. Our descriptor networ…