You are not limited to the LOL dataset. You can place any images in source/low/. The algorithm will process whatever files it finds there: Why 64? 64 = 128/2: one exposure stop below the perceptually ...

The previous deep CNN-based single-image dehazing methods are devoted to improving the performance by increasing the network’s depth and width. In this paper, a novel Large Kernel Convolution Dehaze ...

Abstract: In the context of intelligent transportation systems (ITS), accurate thermal infrared image colorization plays a vital role in improving visual interpretation of traffic scenes, facilitating ...

In the AI field, new models are being constantly released and every other week, a new AI image model comes out on top. So in this article, we have compiled a list of the best AI image generators which ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

This project implements a Kernel Point Convolution pipeline for edge detection in 3D point clouds, developed as part of the ABC Challenge. It aims to automatically identify edge points in 3D models of ...

Google launched the Nano Banana image generator in late August, and it's been building momentum through word of mouth ever since. The new model, officially dubbed Gemini 2.5 Flash Image, actually shot ...

With 4 million app downloads, Estonia-based startup Vocal Image aims to help people improve their voice and communication skills with AI-powered coaching. But out of its 160,000 active users, it may ...