Vision transformers in image restoration: A survey
The Vision Transformer (ViT) architecture has been remarkably successful in image
restoration. For a while, Convolutional Neural Networks (CNN) predominated in most …
restoration. For a while, Convolutional Neural Networks (CNN) predominated in most …
Improving dynamic hdr imaging with fusion transformer
Abstract Reconstructing a High Dynamic Range (HDR) image from several Low Dynamic
Range (LDR) images with different exposures is a challenging task, especially in the …
Range (LDR) images with different exposures is a challenging task, especially in the …
Recent progress in image denoising: A training strategy perspective
W Wu, M Chen, Y Xiang, Y Zhang… - IET Image …, 2023 - Wiley Online Library
Image denoising is one of the hottest topics in image restoration area, it has achieved great
progress both in terms of quantity and quality in recent years, especially after the wide and …
progress both in terms of quantity and quality in recent years, especially after the wide and …
Tape: Task-agnostic prior embedding for image restoration
Learning a generalized prior for natural image restoration is an important yet challenging
task. Early methods mostly involved handcrafted priors including normalized sparsity, ℓ 0 …
task. Early methods mostly involved handcrafted priors including normalized sparsity, ℓ 0 …
Low-light video enhancement with synthetic event guidance
Low-light video enhancement (LLVE) is an important yet challenging task with many
applications such as photographing and autonomous driving. Unlike single image low-light …
applications such as photographing and autonomous driving. Unlike single image low-light …
SiamixFormer: A fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images
A Mohammadian, F Ghaderi - International Journal of Remote …, 2023 - Taylor & Francis
Building detection and change detection using remote sensing images can help urban and
rescue planning. Moreover, they can be used for building damage assessment after natural …
rescue planning. Moreover, they can be used for building damage assessment after natural …
Video Demoiréing with Deep Temporal Color Embedding and Video-Image Invertible Consistency
Demoiréing is the task of removing moiré patterns, which are commonly caused by the
interference between the screen and digital cameras. Although research on single image …
interference between the screen and digital cameras. Although research on single image …
STD-Net: Spatio-Temporal Decomposition Network for Video Demoiréing with Sparse Transformers
The problem of video demoiréing is a new challenge in video restoration. Unlike image
demoiréing, which involves removing static and uniform patterns, video demoiréing requires …
demoiréing, which involves removing static and uniform patterns, video demoiréing requires …
FTRNet: triplet fusion temporal relationship network for change detection in bitemporal remote sensing images
W Wu, T Li, Q Xuan, QM Wan, Z Chen - Geocarto International, 2024 - Taylor & Francis
Change detection (CD) in remote sensing (RS) images aims to identify surface changes
based on images acquired at different times. However, existing methods are still …
based on images acquired at different times. However, existing methods are still …