Deep Learning Techniques for Super-Resolution in Video Games
- URL: http://arxiv.org/abs/2012.09810v1
- Date: Thu, 17 Dec 2020 18:22:05 GMT
- Title: Deep Learning Techniques for Super-Resolution in Video Games
- Authors: Alexander Watson
- Abstract summary: Computer scientists need to develop 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.
- Score: 91.3755431537592
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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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