Diffusion models (DMs) have recently been introduced in image deblurring and exhibited
promising performance, particularly in terms of details reconstruction. However, the diffusion …

We present AutoDIR, an innovative all-in-one image restoration system incorporating latent
diffusion. AutoDIR excels in its ability to automatically identify and restore images suffering …

Abstract Diffusion Probabilistic Models (DPMs) have recently been employed for image
deblurring, formulated as an image-conditioned generation process that maps Gaussian …

Background Efficient and site-specific weed management is a critical step in many
agricultural tasks. Image captures from drones and modern machine learning based …

With the continuous advancement of remote sensing (RS) technology, RS ship detection
plays a crucial role in ensuring maritime safety and the oceanic economy, but it also faces …

Night imaging with modern smartphone cameras is troublesome due to low photon count
and unavoidable noise in the imaging system. Directly adjusting exposure time and ISO …

In recent years, there has been a growing interest in combining learnable modules with
numerical optimization to solve low-level vision tasks. However, most existing approaches …

Traditional image deblurring struggles with high-quality reconstruction due to limited motion
data from single blurred images. Excitingly, the high-temporal resolution of event cameras …

When taking a picture, any camera shake during the shutter time can result in a blurred
image. Recovering a sharp image from the one blurred by camera shake is a challenging …

The cloud-based multimedia service becomes increasingly popular in the last decade,
however, it poses a serious threat to the client's privacy. To address this issue, many …