Image restoration aims to reconstruct a clear image from a degraded observation.
Convolutional neural networks have achieved promising performance on this task. The …

Diffusion Models have shown remarkable performance in image generation tasks which are
capable of generating diverse and realistic image content. When adopting diffusion models …

Image hazing poses a significant challenge in various computer vision applications,
degrading the visual quality and reducing the perceptual clarity of captured scenes. The …

Image dehazing poses significant challenges in environmental perception. Recent research
mainly focus on deep learning-based methods with single modality, while they may result in …

Image dehazing under deficient data is an ill-posed and challenging problem. Most existing
methods tackle this task by developing either CycleGAN-based hazy-to-clean translation or …

Image restoration is rather challenging in adverse weather conditions, especially when
multiple degradations occur simultaneously. Blind image decomposition was proposed to …

One of the hardest problems in computer vision is image dehazing. In the single picture
dehazing job, the approaches based on pixel domain mapping and prior knowledge of …

The recent advancements in the automotive and transportation industry have ushered in a
new era of travel, marked by increased safety and comfort for passengers. These …