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Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)
Wisnu Aditya,
Timothy K. Shih
, Tipajin Thaipisutikul,
Chih Yang Lin
資訊工程學系
機械工程學系
研究成果
:
雜誌貢獻
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期刊論文
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Keyphrases
Super-resolution
100%
Long-term Consistency
100%
Video Super-resolution
100%
State-of-the-art Techniques
66%
Video Quality
66%
Motion Continuity
66%
Peak Signal to Noise Ratio
33%
Video Motion
33%
Loss Function
33%
Deep Learning
33%
Highest Peak
33%
Different Datasets
33%
Temporal Features
33%
Multiple Steps
33%
Degree of Difficulty
33%
Fireworks
33%
Generative Adversarial Networks
33%
Super-resolution Image
33%
Ratio Measures
33%
Single Image Super-resolution
33%
Video Consistency
33%
Engineering
State-of-the-Art Method
100%
Peak Signal
50%
Signal-to-Noise Ratio
50%
Single Image
50%
Loss Function
50%
Resolution Image
50%
Big Difference
50%
Deep Learning Method
50%
Computer Science
super resolution
100%
peak signal to noise ratio
16%
Resolution Image
16%
Temporal Feature
16%
Generative Adversarial Networks
16%
Single-Image Super Resolution
16%
Deep Learning Method
16%
Earth and Planetary Sciences
State of the Art
100%
Pyrotechnics
50%