Author

David B. Lindell

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Preprint Oct 2026

AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers

Generating images beyond the training resolution of Diffusion Transformers (DiTs) remains challenging, as the number of tokens grows rapidly with resolution, full attention becomes expensive, and outputs often suffer from structural distortions and degraded detail. We identify uniform full attention as the common sourc...

Javad Rajabi, Koorosh Roohi, David B. Lindell et al. · 0 citations

#artificial intelligence Open access Apr 2026

REALM: An RGB and Event Aligned Latent Manifold for Cross-Modal Perception

This work proposes REALM, a cross-modal framework that learns an RGB- and Event-Aligned Latent Manifold by projecting event representations into the pretrained latent space of RGB foundation models, and demonstrates state-of-the-art performance in wide-baseline feature matching, significantly outperforming specialized...

Vincenzo Polizzi, David B. Lindell, Jonathan Kelly · arXiv.org · 0 citations