Deep Learning Techniques for Super-Resolution in Video Games
December 17, 2020 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Alexander Watson
arXiv ID
2012.09810
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.CV,
eess.IV
Citations
18
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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