STSRNet: Deep Joint Space–Time Super-Resolution for Vector Field Visualization

Yifei An, Han-Wei Shen, Guihua Shan, Guan Li, Jun Liu

View presentation:Thursday, October 20th, 2022 @ 21:21GMT+00:00Change your timezone on the schedule page
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In this paper, we proposed a joint space-time super-resolution deep learning-based model to reconstruct high temporal and spatial resolution vector field sequences. The model consists of a temporal super-resolution model and a spatial super-resolution, using a physically based loss function combined with temporal coherence for reconstructing vectors. We proved the effectiveness of our model on different datasets through quantitative and qualitative evaluations.

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Abstract