Owing to the immense popularity of ray-tracing and path tracing rendering algorithms for visual effects, there has been a surge of interest in developing filtering and reconstruction methods to deal ...

Along with autoencoder, another machine learning technique we have used is Linear Regression. Instead of modelling the entire image at once, we tried predicting the cleaned-up intensity for each pixel ...

Abstract: This article presents a fast and accurate electrocardiogram (ECG) denoising and classification method for low-quality ECG signals. To achieve this, a novel attention-based convolutional ...

Abstract: A major problem in domains like computer vision, photography, and medical imaging is picture noise, which can significantly reduce image quality due to variables like inadequate sensors, dim ...

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...