Abstract All-in-one (AiO) frameworks restore various adverse weather degradations with a
single set of networks jointly. To handle various weather conditions an AiO framework is …

Dual-pixel (DP) imaging sensors are getting more popularly adopted by modern cameras. A
DP camera captures a pair of images in a single snapshot by splitting each pixel in half …

For single image defocus deblurring, acquiring well-aligned training pairs (or training
triplets), ie, a defocus blurry image, an all-in-focus sharp image (and a defocus blur map), is …

Single image defocus deblurring (SIDD) aims to restore an all-in-focus image from a
defocused one. Distribution shifts in defocused images generally lead to performance …

Defocus deblurring is an important task in computer vision that aims to bring images back to
clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring …

Defocus blur often arises in images captured with wide apertures and shallow depth of field,
presenting significant challenges due to its spatial variability and difficulty in estimation …

The rapid advancements in artificial intelligence (AI), particularly in generative AI and large
language models (LLMs), have profoundly impacted the creative industries by enabling …

Image dehazing has drawn a significant attention in recent years. Learning-based methods
usually require paired hazy and corresponding ground truth (haze-free) images for training …

Spike cameras, as innovative neuromorphic devices, generate continuous spike streams to
capture high-speed scenes with lower bandwidth and higher dynamic range than traditional …