Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., Loy, C. C., & Tang, X. (2018). ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. In Lecture Notes in Computer Science. DOI: 10.1007/978-3-030-11021-5_5. URL: https://doi.org/10.1007/978-3-030-11021-5_5

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In 2018, GANs reached the video game modding community, as a method of up-scaling low-resolution 2D textures in old video games by recreating them in 4k or higher resolutions via image training, and then down-sampling them to fit the game's native resolution (with results resembling the supersampling method of anti-aliasing). With proper training, GANs provide a clearer and sharper 2D texture image magnitudes higher in quality than the original, while fully retaining the original's level of details, colors, etc. Known examples of extensive GAN usage include Final Fantasy VIII, Final Fantasy IX, Resident Evil REmake HD Remaster, and Max Payne

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