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Establishing an evaluation metric to quantify climate change image realism
2020
Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems
With success on controlled tasks, deep generative models are being increasingly applied to humanitarian applications . In this paper, we focus on the evaluation of a conditional generative model that illustrates the consequences of climate change-induced flooding to encourage public interest and awareness on the issue. 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.
doi:10.47812/ijamecs2010105
fatcat:a3ggnzu345cvxkwd3chjl5jzcy