Search Results for author:
Found 10 papers, 10 papers with code
Omni-Kernel Network for Image Restoration
Extensive experiments demonstrate that our network achieves state-of-the-art performance on 11 benchmark datasets for three representative image restoration tasks, including image dehazing, image desnowing, and image defocus deblurring.
Ranked #8 on
Image Dehazing
on SOTS Outdoor
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
Our approach is motivated by the observation that different degradation types impact the image content on different frequency subbands, thereby requiring different treatments for each restoration task.
Dual-domain strip attention for image restoration
In this paper, we develop a dual-domain strip attention mechanism for image restoration by enhancing representation learning, which consists of spatial and frequency strip attention units.
Ranked #5 on
Image Dehazing
on SOTS Outdoor
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook
Autonomous driving has rapidly developed and shown promising performance due to recent advances in hardware and deep learning techniques.
Exploring the potential of channel interactions for image restoration
Image restoration aims to reconstruct a clear image from a degraded observation.
Ranked #1 on
Image Dehazing
on SOTS Outdoor
Image Restoration via Frequency Selection
Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
Ranked #2 on
Image Dehazing
on SOTS Outdoor
Strip Attention for Image Restoration
As a long-standing task, image restoration aims to recover the latent sharp image from its degraded counterpart.
Ranked #6 on
Image Dehazing
on SOTS Outdoor
IRNeXt: Rethinking Convolutional Network Design for Image Restoration
We present IRNeXt, a simple yet effective convolutional network architecture for image restoration.
Ranked #4 on
Image Dehazing
on SOTS Outdoor
Selective Frequency Network for Image Restoration
Image restoration aims to reconstruct the latent sharp image from its corrupted counterpart.
Ranked #1 on
Deblurring
on RSBlur
Focal Network for Image Restoration
Image restoration aims to reconstruct a sharp image from its degraded counterpart, which plays an important role in many fields.
Ranked #7 on
Image Dehazing
on SOTS Outdoor
