NTIRE 2023 challenge on efficient super-resolution: Methods and results
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
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 …
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) …
Towards robust blind face restoration with codebook lookup transformer
Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to
1) improve the mapping from degraded inputs to desired outputs, or 2) complement high …
1) improve the mapping from degraded inputs to desired outputs, or 2) complement high …
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 …
Codetalker: Speech-driven 3d facial animation with discrete motion prior
Speech-driven 3D facial animation has been widely studied, yet there is still a gap to
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Swin2sr: Swinv2 transformer for compressed image super-resolution and restoration
Compression plays an important role on the efficient transmission and storage of images
and videos through band-limited systems such as streaming services, virtual reality or …
and videos through band-limited systems such as streaming services, virtual reality or …
Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing
Deep neural networks provide unprecedented performance gains in many real-world
problems in signal and image processing. Despite these gains, the future development and …
problems in signal and image processing. Despite these gains, the future development and …
Residual feature aggregation network for image super-resolution
Recently, very deep convolutional neural networks (CNNs) have shown great power in
single image super-resolution (SISR) and achieved significant improvements against …
single image super-resolution (SISR) and achieved significant improvements against …