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.

翻译：生成模型能够精确拟合数据分布的能力使其在计算机视觉和自然语言处理等领域得到广泛应用并取得显著成功。本章简要概述了生成模型在红外图像超分辨率领域的应用，包括探讨该领域存在的各种挑战以及所采用的对抗训练方法。我们提出了生成模型在红外图像超分辨率应用中值得进一步研究和发展的潜在方向。