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 ...

Abstract: In this demo we propose a method for computing real time convolution on AER images. For that we use signed events. The AER events produced on an AER retina or an image/video to AER conversor ...

Abstract: Visual inspection process for weld defects still manually operated by human vision, so the result of the test still highly subjective. In this research, the visual inspection process will be ...

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

In this post, we will show you how to use MAI-Image-1 for HD image generation on a Windows PC. Microsoft has recently introduced its first text-to-image model built completely in-house. Known as ...

🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.

Microsoft recently released Copilot 3D, a 3D image generation tool. It is currently free to use. Here, we will see how to use Copilot for 3D image generation. After signing into Copilot with your ...

Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...