Author

P. Kontschieder

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Preprint Oct 2026

GenIA: Generative Reconstruction with Test-Time Input Alignment

GenIA is introduced, a framework for test-time input-aligned generation that grounds SAM3D's generative prior in geometric and photometric observations without retraining the foundation model.

Stefano Esposito, Naama Pearl, Polina Karpikova et al. · 0 citations

Preprint Aug 2026

Map-Det3D: Metric Feed-Forward 3D Reconstruction Prior for Multi-view 3D Object Detection from Streaming Inputs

Map-Det3D is an online multi-view 3D object detection model that brings detection directly into a 3D space reconstructed from RGB, suggesting that training reconstruction priors for detection is a practical route to stable metric 3D detection from monocular video.

Yung-Hsu Yang, Luigi Piccinelli, S. R. Bulò et al. · 1 citation