Existing underwater image enhancement algorithms rely on paired datasets, which enhance
underwater images by learning the mapping relationship between low-quality and high …

Brain-inspired algorithms have become a new trend in next-generation artificial intelligence.
Through research on brain science, the intelligence of remote sensing algorithms can be …

Images captured under low-light conditions usually have poor visual quality, and hence
greatly reduce the accuracy of subsequent tasks such as image segmentation and detection …

Recently, transformer-based methods have achieved impressive results in single image
super-resolution (SISR). However, the lack of locality mechanism and high complexity limit …

Attention mechanism, one of the most extensively utilized components in computer vision,
can assist neural networks in emphasizing significant elements and suppressing irrelevant …

The colorization of grayscale images can, nowadays, take advantage of recent progress and
the automation of deep-learning techniques. From the media industry to medical or …

Spherical videos, also known as 360-degree (panorama) videos, can be viewed with
various virtual reality devices such as computers and head-mounted displays. They attract a …

Gray to Color conversion causes difficulties because of the nature of its intrinsic multi-
modality. Despite recent significant advancements in this domain by numerous learning …

Colorization is the practice of adding appropriate chromatic values to monochrome
photographs or videos. A real-valued luminance image can be mapped to a three …

This paper proposes a new approach for reconstructing high-resolution images from low-
resolution inputs using Denoising Diffusion Probabilistic Models (DDPMs). Existing DDPMs …