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Jérôme Revaud

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Preprint Sep 2026

BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors

This paper introduces a regularized BA framework that leverages a fast multi-view matcher and monocular priors for initialization and regularization and demonstrates improved performance and speed tradeoffs over traditional, feed-forward, and hybrid baselines.

Vincent Leroy, Philippe Weinzaepfel, Lojze Žust et al. · 0 citations
#machine learning Preprint Sep 2026

Sparse auto-regressive modeling for scene generation from multi-view images

This work introduces SPAR3S, a sparse voxel-aligned 3D latent generative model for conditional scene completion without requiring ground-truth 3D data for supervision, and trains a masked autoregressive transformer that jointly models voxel occupancy and latent token values, enabling efficient and spatially consistent...

Thomas Lucas, Maxime Pietrantoni, Philippe Weinzaepfel et al. · 1 citation

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