Efficient Super-Resolution for Compression Of Gaming Videos
Author:
Affiliation:
1. Xidian University,School of Telecommunications Engineering,Xi’an,China
2. BBC Research & Development,London,UK
3. Computer Vision Center,Barcelona,Spain
4. Northwestern Polytechnical University,School of Electronics and Information,Xi’an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096031.pdf?arnumber=10096031
Reference21 articles.
1. Dlss 2.0-image reconstruction for real-time rendering with deep learning;liu;GPU Technology Conference (GTC),2020
2. Online-trained Upsampler for Deep Low Complexity Video Compression
3. Enhanced Deep Residual Networks for Single Image Super-Resolution
4. Versatile video coding (draft 5);bross;Joint Video Experts Team (JVET) of ITU-T SG,2019
5. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
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1. Metaverse: A Young Gamer's Perspective;2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP);2023-09-27
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