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")

gps_coords = pipeline(images, batch_size=1024)
Downloads last month
109
Safetensors
Model size
36M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Dataset used to train nicolas-dufour/PLONK_OSV_5M

Space using nicolas-dufour/PLONK_OSV_5M 1

Collection including nicolas-dufour/PLONK_OSV_5M