Infrared Image Super-Resolution via GAN

Yongsong Huang; Shinichiro Omachi

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arXiv · 2312.00689

Infrared Image Super-Resolution via GAN

Yongsong Huang·Shinichiro Omachi

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Abstract

The ability of generative models to accurately fit data distributions has resulted in their widespread adoption and success in fields such as computer vision and natural language processing. In this chapter, we provide a brief overview of the application of generative models in the domain of infrared (IR) image super-resolution, including a discussion of the various challenges and adversarial training methods employed. We propose potential areas for further investigation and advancement in the application of generative models for IR image super-resolution.

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Yongsong Huang, Shinichiro Omachi. 2023-12-01. Infrared Image Super-Resolution via GAN. https://arxiv.org/abs/2312.00689

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