DSFN is an end-to-end network that jointly performs video deblurring, 4x super-resolution, and frame interpolation, claiming higher PSNR/SSIM than sequential state-of-the-art pipelines on Adobe240 and GOPRO.
Video super-resolution with convolu- tional neural networks.IEEE Transactions on Computational Imaging, 2(2):109–122, 2016
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Joint Video Enhancement with Deblurring, Super-Resolution, and Frame Interpolation Network
DSFN is an end-to-end network that jointly performs video deblurring, 4x super-resolution, and frame interpolation, claiming higher PSNR/SSIM than sequential state-of-the-art pipelines on Adobe240 and GOPRO.