mlsanityData to 14 Oct 2026

Deep Learning Techniques for Super-Resolution in Video Games

arXiv 2012.09810 ↗First posted 17 Dec 2020cs.NE cs.CV eess.IVcited by 5

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Abstract (arXiv)

The computational cost of video game graphics is increasing and hardware for processing graphics is struggling to keep up. This means that computer scientists need to develop creative new ways to improve the performance of graphical processing hardware. Deep learning techniques for video super-resolution can enable video games to have high quality graphics whilst offsetting much of the computational cost. These emerging technologies allow consumers to have improved performance and enjoyment from video games and have the potential to become standard within the game development industry.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Dec 2020.

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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1; 2025: 2.

5 papers.