About

Video super-resolution is the task of upscaling a video from a low-resolution to a high-resolution.

( Image credit: Detail-revealing Deep Video Super-Resolution )

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Datasets

Greatest papers with code

Image Super-Resolution Using Deep Convolutional Networks

31 Dec 2014nagadomi/waifu2x

We further show that traditional sparse-coding-based SR methods can also be viewed as a deep convolutional network.

IMAGE SUPER-RESOLUTION VIDEO SUPER-RESOLUTION

Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation

23 Nov 2018thunil/TecoGAN

Additionally, we propose a first set of metrics to quantitatively evaluate the accuracy as well as the perceptual quality of the temporal evolution.

IMAGE SUPER-RESOLUTION MOTION COMPENSATION VIDEO GENERATION VIDEO SUPER-RESOLUTION

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

7 May 2019open-mmlab/mmsr

In this work, we propose a novel Video Restoration framework with Enhanced Deformable networks, termed EDVR, to address these challenges.

 Ranked #1 on Deblurring on REDS

DEBLURRING VIDEO RESTORATION VIDEO SUPER-RESOLUTION

Deep Back-Projection Networks For Super-Resolution

CVPR 2018 thstkdgus35/EDSR-PyTorch

The feed-forward architectures of recently proposed deep super-resolution networks learn representations of low-resolution inputs, and the non-linear mapping from those to high-resolution output.

IMAGE SUPER-RESOLUTION VIDEO SUPER-RESOLUTION

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

CVPR 2020 Mukosame/Zooming-Slow-Mo-CVPR-2020

Rather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal interpolation network.

VIDEO FRAME INTERPOLATION VIDEO SUPER-RESOLUTION

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution

CVPR 2020 YapengTian/TDAN-VSR-CVPR-2020

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

OPTICAL FLOW ESTIMATION VIDEO SUPER-RESOLUTION

TDAN: Temporally Deformable Alignment Network for Video Super-Resolution

7 Dec 2018YapengTian/TDAN-VSR-CVPR-2020

Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low-resolution (LR) frame (reference frame) and multiple neighboring frames (supporting frames).

OPTICAL FLOW ESTIMATION VIDEO SUPER-RESOLUTION