Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Real-world single image super-resolution: A brief review
Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …
image from a low-resolution (LR) observation, has been an active research topic in the area …
Single image super-resolution: a comprehensive review and recent insight
Super-resolution (SR) is a long-standing problem in image processing and computer vision
and has attracted great attention from researchers over the decades. The main concept of …
and has attracted great attention from researchers over the decades. The main concept of …
Exploiting diffusion prior for real-world image super-resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
to-image diffusion models for blind super-resolution. Specifically, by employing our time …
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
Over the past few years, single image super-resolution (SR) has become a hotspot in the
remote sensing area, and numerous methods have made remarkable progress in this …
remote sensing area, and numerous methods have made remarkable progress in this …
All-in-one image restoration for unknown corruption
In this paper, we study a challenging problem in image restoration, namely, how to develop
an all-in-one method that could recover images from a variety of unknown corruption types …
an all-in-one method that could recover images from a variety of unknown corruption types …
Swinir: Image restoration using swin transformer
Image restoration is a long-standing low-level vision problem that aims to restore high-
quality images from low-quality images (eg, downscaled, noisy and compressed images) …
quality images from low-quality images (eg, downscaled, noisy and compressed images) …
Real-esrgan: Training real-world blind super-resolution with pure synthetic data
Though many attempts have been made in blind super-resolution to restore low-resolution
images with unknown and complex degradations, they are still far from addressing general …
images with unknown and complex degradations, they are still far from addressing general …
Vrt: A video restoration transformer
Video restoration aims to restore high-quality frames from low-quality frames. Different from
single image restoration, video restoration generally requires to utilize temporal information …
single image restoration, video restoration generally requires to utilize temporal information …
Designing a practical degradation model for deep blind image super-resolution
It is widely acknowledged that single image super-resolution (SISR) methods would not
perform well if the assumed degradation model deviates from those in real images. Although …
perform well if the assumed degradation model deviates from those in real images. Although …
NTIRE 2024 challenge on light field image super-resolution: Methods and results
In this report we summarize the 2nd NTIRE challenge on light field (LF) image super-
resolution (SR) with a focus on new methods and results. This challenge aims at super …
resolution (SR) with a focus on new methods and results. This challenge aims at super …