From vehicles to wildlife: transferable deep learning for trajectory generation
Julien Patras, Ronan Fablet, Adrien Brunel, Amédée Roy, Leandro Bugoni, Guilherme Tavares Nunes, Christophe Barbraud, Júlia Jacoby, Sophie Benboudjema, Giannina Passuni, Karine Delord, Sophie Bertrand
This paper fine-tunes a diffusion model pre-trained on vehicle GPS data to generate ecologically realistic animal movement trajectories, outperforming baselines in speed and accuracy.
bioRxiv · Jul 20, 2026 · PreprintBioinformatics