Browse > Computer Vision > Super Resolution > Image Super-Resolution

Image Super-Resolution

76 papers with code · Computer Vision
Subtask of Super Resolution

Image super-resolution (SR) techniques reconstruct a higher-resolution image or sequence from the observed lower-resolution images. Usually the benchmarks are single-image super-resolution (SISR) tasks.

State-of-the-art leaderboards

Greatest papers with code

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

CVPR 2017 tensorflow/models

The adversarial loss pushes our solution to the natural image manifold using a discriminator network that is trained to differentiate between the super-resolved images and original photo-realistic images.

IMAGE SUPER-RESOLUTION

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

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

1 Sep 2018xinntao/ESRGAN

To further enhance the visual quality, we thoroughly study three key components of SRGAN - network architecture, adversarial loss and perceptual loss, and improve each of them to derive an Enhanced SRGAN (ESRGAN).

IMAGE SUPER-RESOLUTION

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

27 Mar 2016DmitryUlyanov/texture_nets

We consider image transformation problems, where an input image is transformed into an output image.

IMAGE SUPER-RESOLUTION STYLE TRANSFER

A Fully Progressive Approach to Single-Image Super-Resolution

9 Apr 2018fperazzi/proSR

Recent deep learning approaches to single image super-resolution have achieved impressive results in terms of traditional error measures and perceptual quality.

IMAGE 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

Enhanced Deep Residual Networks for Single Image Super-Resolution

10 Jul 2017thstkdgus35/EDSR-PyTorch

Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN).

IMAGE SUPER-RESOLUTION

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

13 Aug 2016cszn/DnCNN

Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.

IMAGE DENOISING IMAGE SUPER-RESOLUTION