Arbitrary-scale super-resolution via deep learning: A comprehensive survey
Super-resolution (SR) is an essential class of low-level vision tasks, which aims to improve
the resolution of images or videos in computer vision. In recent years, significant progress …
the resolution of images or videos in computer vision. In recent years, significant progress …
[HTML][HTML] Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer
Satellite video is an emerging type of earth observation tool, which has attracted increasing
attention because of its application in dynamic analysis. However, most studies only focus …
attention because of its application in dynamic analysis. However, most studies only focus …
Accflow: Backward accumulation for long-range optical flow
Recent deep learning-based optical flow estimators have exhibited impressive performance
in generating local flows between consecutive frames. However, the estimation of long …
in generating local flows between consecutive frames. However, the estimation of long …
Vdpve: Vqa dataset for perceptual video enhancement
Recently, many video enhancement methods have been proposed to improve video quality
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …
from different aspects such as color, brightness, contrast, and stability. Therefore, how to …
NTIRE 2023 quality assessment of video enhancement challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …
Challenge, which will be held in conjunction with the New Trends in Image Restoration and …
TransMRSR: transformer-based self-distilled generative prior for brain MRI super-resolution
Magnetic resonance images (MRI) acquired with low through-plane resolution compromise
time and cost. The poor resolution in one orientation is insufficient to meet the requirement of …
time and cost. The poor resolution in one orientation is insufficient to meet the requirement of …
Perception-Oriented Video Frame Interpolation via Asymmetric Blending
Abstract Previous methods for Video Frame Interpolation (VFI) have encountered challenges
notably the manifestation of blur and ghosting effects. These issues can be traced back to …
notably the manifestation of blur and ghosting effects. These issues can be traced back to …
ACDMSR: Accelerated conditional diffusion models for single image super-resolution
Diffusion models have gained significant popularity for image-to-image translation tasks.
Previous efforts applying diffusion models to image super-resolution have demonstrated that …
Previous efforts applying diffusion models to image super-resolution have demonstrated that …
Light-vqa: A multi-dimensional quality assessment model for low-light video enhancement
Recently, Users Generated Content (UGC) videos becomes ubiquitous in our daily lives.
However, due to the limitations of photographic equipments and techniques, UGC videos …
However, due to the limitations of photographic equipments and techniques, UGC videos …
Fastllve: Real-time low-light video enhancement with intensity-aware look-up table
Low-Light Video Enhancement (LLVE) has received considerable attention in recent years.
One of the critical requirements of LLVE is inter-frame brightness consistency, which is …
One of the critical requirements of LLVE is inter-frame brightness consistency, which is …