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Found 6 papers, 1 papers with code
Fast Online Video Super-Resolution with Deformable Attention Pyramid
Our DAP aligns and integrates information from the recurrent state into the current frame prediction.
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
As large models are often not practical in real-world applications, we investigate and propose novel loss functions, to enable SR with high perceptual quality from much more efficient models.
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the spatio-temporal domain.
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
Missing information can be restored well in this region, especially in HR videos, where the high-frequency content mostly consists of texture details.
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
For track 2, some existing methods are evaluated, showing promising solutions to the weakly-supervised video quality mapping problem.
Efficient Video Super-Resolution through Recurrent Latent Space Propagation
However, as the motion estimation problem is a highly challenging problem, inaccurate motion compensation may affect the performance of VSR algorithms.
Video Super-Resolution
Image and Video Processing
