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Video Super-Resolution

12 papers with code · Computer Vision
Subtask of Video · Super Resolution

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

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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

Temporally Coherent GANs for Video Super-Resolution (TecoGAN)

23 Nov 2018thunil/TecoGAN

In our work, we instead propose an adversarial training for video super-resolution that leads to temporally coherent solutions without sacrificing spatial detail.

IMAGE SUPER-RESOLUTION MOTION COMPENSATION 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

EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

7 May 2019xinntao/EDVR

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

DEBLURRING VIDEO SUPER-RESOLUTION

Detail-revealing Deep Video Super-resolution

ICCV 2017 jiangsutx/SPMC_VideoSR

In this paper, we show that proper frame alignment and motion compensation is crucial for achieving high quality results.

IMAGE SUPER-RESOLUTION MOTION COMPENSATION VIDEO SUPER-RESOLUTION

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

CVPR 2018 yhjo09/VSR-DUF

We propose a novel end-to-end deep neural network that generates dynamic upsampling filters and a residual image, which are computed depending on the local spatio-temporal neighborhood of each pixel to avoid explicit motion compensation.

DATA AUGMENTATION MOTION COMPENSATION MOTION ESTIMATION VIDEO SUPER-RESOLUTION

Frame-Recurrent Video Super-Resolution

CVPR 2018 msmsajjadi/frvsr

Recent advances in video super-resolution have shown that convolutional neural networks combined with motion compensation are able to merge information from multiple low-resolution (LR) frames to generate high-quality images.

MOTION COMPENSATION VIDEO SUPER-RESOLUTION