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
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
Gekko is a network that jointly performs cross-view completion, masked autoencoding, and per-pixel prediction of this relative improvement of the cross-view reconstruction error over a masked-autoencoder error, providing an additional binocular signal for all masked regions without any ground-truth 3D annotation.
T. Loiseau, Guillaume Bourmaud, Vincent Lepetit· 1 citation
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