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Deep Learning Techniques for Super-Resolution in Video Games

Deep Learning Techniques for Super-Resolution in Video Games

17 December 2020
A. Watson
    SupR
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Techniques for Super-Resolution in Video Games"

3 / 3 papers shown
Title
GSound-SIR: A Spatial Impulse Response Ray-Tracing and High-order Ambisonic Auralization Python Toolkit
GSound-SIR: A Spatial Impulse Response Ray-Tracing and High-order Ambisonic Auralization Python Toolkit
Yongyi Zang
Qiuqiang Kong
53
0
0
22 Mar 2025
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image
  Upsampling
An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling
Ian Colbert
Ken Kreutz-Delgado
Srinjoy Das
78
4
0
15 Jul 2021
SyntheticFur dataset for neural rendering
SyntheticFur dataset for neural rendering
Trung Le
Ryan Poplin
Fred Bertsch
Andeep S. Toor
Margaret L. Oh
3DH
25
1
0
13 May 2021
1