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nicolas-dufour/PLONK_OSV_5M_diffusion
PLONK_OSV_5M_diffusion is a machine learning model from nicolas-dufour. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a model of the approach described in the paper "Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"
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From the Hugging Face model README
This is a model of the approach described in the paper "Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"
@misc{dufour2024world80timestepsgenerative,
title={Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation},
author={Nicolas Dufour and David Picard and Vicky Kalogeiton and Loic Landrieu},
year={2024},
eprint={2412.06781},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2412.06781},
}
pip install diff-plonk
from plonk import PLONKPipeline
pipeline = PLONKPipeline.from_pretrained("nicolas-dufour/PLONK_OSV_5M_diffusion")
gps_coords = pipeline(images, batch_size=1024)