Enhancing space–time video super-resolution via spatial–temporal feature interaction

The target of space–time video super-resolution (STVSR) is to increase both the frame rate (also referred to as the temporal resolution) and the spatial resolution of a given video. Recent approaches solve STVSR using end-to-end deep neural networks. A popular solution is to first increase the frame...

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Veröffentlicht in:	Neural networks 2025-04, Vol.184, p.107033, Article 107033
Hauptverfasser:	Yue, Zijie, Shi, Miaojing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Deep Learning Humans Image Processing, Computer-Assisted - methods Motion consistency Neural Networks, Computer Optical flow Space–time video super-resolution Spatial–temporal feature interaction Spatio-Temporal Analysis Video Recording - methods
Online-Zugang:	Volltext
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