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GeoFlow reveals that integrating geospatial attributes can dramatically enhance the accuracy and diversity of urban mobility predictions.
Generating realistic human interactions with objects and scenes is now possible even with limited data, thanks to a clever training strategy that combines synthetic and real data.
