Learning to Generate Thermal Images from RGB Cameras Using Synthetic Data Augmentation

The author proposes a generative model approach using conditional generative adversarial networks (cGANs) to address missing data due to sensor frame rate mismatches, focusing on generating synthetic yet realistic thermal imagery.