Space-time Video Super-resolution
13 papers with code • 2 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Space-time Video Super-resolution
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Libraries
Use these libraries to find Space-time Video Super-resolution models and implementationsMost implemented papers
Towards Interpretable Video Super-Resolution via Alternating Optimization
These issues can be alleviated by a cascade of three separate sub-tasks, including video deblurring, frame interpolation, and super-resolution, which, however, would fail to capture the spatial and temporal correlations among video sequences.
MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution
sichun233746/motif
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ICCV 2023
We motivate the use of forward motion from the perspective of learning individual motion trajectories, as opposed to learning a mixture of motion trajectories with backward motion.
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution
megvii-research/wacv2024-safa
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The Space-Time Video Super-Resolution (STVSR) task aims to enhance the visual quality of videos, by simultaneously performing video frame interpolation (VFI) and video super-resolution (VSR).
