Unmanned aerial vehicles (UAVs) are recognized as promising technologies...
This paper explicitly models a coarse and noisy quantization in a
commun...
Modern displays are capable of rendering video content with high dynamic...
We present DiffBIR, which leverages pretrained text-to-image diffusion m...
The unmanned aerial vehicle (UAV) network is popular these years due to ...
The demand for efficient 3D model generation techniques has grown
expone...
Image super-resolution (SR) with generative adversarial networks (GAN) h...
Space-air-ground integrated networks (SAGINs) help enhance the service
p...
Super-resolution (SR) techniques designed for real-world applications
co...
Deep deraining networks, while successful in laboratory benchmarks,
cons...
After the pursuit of seventy years, the invention of polar codes indicat...
When capturing and storing images, devices inevitably introduce noise.
R...
Multi-access edge computing (MEC) is regarded as a promising technology ...
The space-air-ground integrated network (SAGIN) is dynamic and flexible,...
Most existing image restoration methods use neural networks to learn str...
With the continuous increment of maritime applications, the development ...
Omnidirectional images (ODIs) have obtained lots of research interest fo...
Text-based style transfer is a newly-emerging research topic that uses t...
The recent GAN inversion methods have been able to successfully invert t...
The recurrent structure is a prevalent framework for the task of video
s...
Existing correspondence datasets for two-dimensional (2D) cartoon suffer...
Numerous communication networks are emerging to serve the various demand...
The attention mechanism plays a pivotal role in designing advanced
super...
Under-Display Camera (UDC) has been widely exploited to help smartphones...
We study how to represent a video with implicit neural representations
(...
The alignment of adjacent frames is considered an essential operation in...
With the vigorous development of artificial intelligence (AI), the
intel...
This paper reports on the NTIRE 2022 challenge on perceptual image quali...
In this paper, we design a new class of high-efficiency deep joint
sourc...
This paper reviews the challenge on constrained high dynamic range (HDR)...
Performance and generalization ability are two important aspects to eval...
Although generative facial prior and geometric prior have recently
demon...
Recent advances in single image super-resolution (SISR) have achieved
ex...
This paper explores training efficient VGG-style super-resolution (SR)
n...
Interactive image restoration aims to restore images by adjusting severa...
Transformer-based methods have shown impressive performance in low-level...
Most of the existing video face super-resolution (VFSR) methods are trai...
Face image super resolution (face hallucination) usually relies on facia...
With the explosive increment of computation requirements, the multi-acce...
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned...
Dropout is designed to relieve the overfitting problem in high-level vis...
Exemplar-based colorization approaches rely on reference image to provid...
Recent approaches based on metric learning have achieved great progress ...
Video colorization is a challenging and highly ill-posed problem. Althou...
Nowadays modern displays are capable to render video content with high
d...
Recent blind super-resolution (SR) methods typically consist of two bran...
Though many attempts have been made in blind super-resolution to restore...
Blind image super-resolution (SR), aiming to super-resolve low-resolutio...
Most consumer-grade digital cameras can only capture a limited range of
...
Modulating image restoration level aims to generate a restored image by
...