487 papers with code • 0 benchmarks • 19 datasets

Super resolution is the task of taking an input of a low resolution (LR) and upscaling it to that of a high resolution.

( Credit: MemNet )

Latest papers without code

Perceptually-inspired super-resolution of compressed videos

15 Jun 2021

Spatial resolution adaptation is a technique which has often been employed in video compression to enhance coding efficiency.

Super-Resolution Video Compression

Group-based Bi-Directional Recurrent Wavelet Neural Networks for Video Super-Resolution

14 Jun 2021

In this paper, we propose a group-based bi-directional recurrent wavelet neural networks (GBR-WNN) to exploit the sequential data and spatio-temporal information effectively for VSR.

Video Super-Resolution

Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution

13 Jun 2021

Recently, deep convolutional neural network methods have achieved an excellent performance in image superresolution (SR), but they can not be easily applied to embedded devices due to large memory cost.

Image Super-Resolution

Feedback Pyramid Attention Networks for Single Image Super-Resolution

13 Jun 2021

Recently, convolutional neural network (CNN) based image super-resolution (SR) methods have achieved significant performance improvement.

Image Super-Resolution

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

11 Jun 2021

Models for audio generation are typically trained on hours of recordings.

Audio Generation Semantic Similarity +2

A self-adapting super-resolution structures framework for automatic design of GAN

10 Jun 2021

In this paper, we introduce a new super-resolution image reconstruction generative adversarial network framework, and a Bayesian optimization method used to optimizing the hyperparameters of the generator and discriminator.

Image Reconstruction Super-Resolution

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

7 Jun 2021

This paper reviews the NTIRE2021 challenge on burst super-resolution.


Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions

7 Jun 2021

In recent years, advances in the field of deep learning on tasks such as super-resolution and image enhancement have led to unprecedented performance in generating high-quality images from low-quality ones, a process we refer to as neural enhancement.

Image Enhancement Super-Resolution

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

4 Jun 2021

There is a growing demand for high-resolution (HR) medical images in both the clinical and research applications.

Deblurring Image Super-Resolution