Author

David Nordström

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Preprint Sep 2026

RoMa-$\Omega$: What Feed-Forward 3D Models Know About Image Matching

Learned image matching has experienced significant progress in recent years, culminating in robust and accurate matchers such as RoMa, whose robustness is often attributed to its use of frozen DINO features. In a parallel development, feed-forward reconstruction models, such as VGGT, have been trained on ever-growing d...

David Nordström, Xin-Yue Zhang, T. Loiseau et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Emergent Multi-View Geometry Through Self-Distillation

Over a century ago, Henri Poincar\'e argued that a motionless observer cannot acquire the notion of space. Yet, most visual representation learning methods operate on individual images, while those that leverage multiple views rely on RGB reconstruction, entangling geometry with appearance. We propose Poincar3, a self-...

David Nordström, T. Loiseau, Vincent Lepetit et al. · 0 citations