cad-to-image alignment 1feature learning 1geometry-aware representations 1pose estimation 1zero-shot learning 1
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cs.CV2026
SUFLECA: Scaling Up Feature Learning for CAD-to-image Alignment
Saad Ejaz, Miguel Fernandez-Cortizas, Javier Civera +2
The paper introduces SUFLECA, a weakly‑supervised framework that learns geometry‑aware features from large image collections to align CAD models to single RGB images, enabling zero…
cs.CV2025
Category-level Meta-learned NeRF Priors for Efficient Object Mapping
Saad Ejaz, Hriday Bavle, Laura Ribeiro +2
In 3D object mapping, category-level priors enable efficient object reconstruction and canonical pose estimation, requiring only a single prior per semantic category (e.g., chair,…