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GANs for Visible to Infrared Video Conversion by corneli@ is a document available to read on EtoBox.

What is GANs for Visible to Infrared Video Conversion about?

The document discusses using generative adversarial networks (GANs) for converting visible light videos to infrared videos. Specifically, it compares Pix2Pix GAN and Cycle GAN models. Pix2Pix GAN requires paired visible and infrared image datasets for training, while Cycle GAN can be trained on unpaired datasets using cycle-consistent losses. The models are applied to a publicly available visible-infrared video dataset and evaluated using Inception Score, FID, and KID metrics. Results suggest Cycle GAN more

Author

corneli@

Language

EN