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Found 4 papers, 2 papers with code
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Climate change is a major threat to humanity, and the actions required to prevent its catastrophic consequences include changes in both policy-making and individual behaviour.
Using Simulated Data to Generate Images of Climate Change
In our paper, we explore the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture, aiming to use the resulting images to raise awareness of the potential future impacts of climate change.
Establishing an Evaluation Metric to Quantify Climate Change Image Realism
Because metrics for comparing the realism of different modes in a conditional generative model do not exist, we propose several automated and human-based methods for evaluation.
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics
Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns.
