The capability of video super-resolution (VSR) to synthesize high-resolu...
Large-scale text-to-image models have demonstrated amazing ability to
sy...
Pose transfer aims to transfer a given person into a specified posture, ...
Image Virtual try-on aims at replacing the cloth on a personal image wit...
Real-world image denoising is a practical image restoration problem that...
Real-scene image super-resolution aims to restore real-world low-resolut...
Real-world image super-resolution is a practical image restoration probl...
Multi-label image recognition with partial labels (MLR-PL), in which som...
Unpaired image-to-image translation aims to find a mapping between the s...
Deep convolutional networks have attracted great attention in image
rest...
Non-parallel text style transfer has attracted increasing research inter...
This paper introduces the real image Super-Resolution (SR) challenge tha...
Multi-view clustering methods have been a focus in recent years because ...
Different from traditional image super-resolution task, real image
super...
Face hallucination is a domain-specific super-resolution problem that ai...
Recently, deep learning based single image super-resolution(SR) approach...
This paper reviews the first challenge on efficient perceptual image
enh...
Face hallucination is a domain-specific super-resolution problem with th...
Single image super resolution (SR), which refers to reconstruct a
higher...
Recently, machine learning based single image super resolution (SR)
appr...