GitHub

This project contains a TensorFlow-based Denoising Autoencoder (DAE) to exact model galaxy from observed galaxy images and perform galaxy model subtraction.

Clone this repository to your local machine or cloud service using the following command: To provide a comprehensive overview of the dataset generation process used in your project, it's important to ...
GitHub

MNIST • Latent Spaces • Generative Modeling

modular and well-structured PyTorch code, full training pipelines for both AE and VAE, high-quality visual results (reconstructions + generated samples), and a detailed LaTeX report (in French) ...
IEEE

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

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 ...
IEEE

Data-Efficient and Adaptive Signal Denoising via Self-Supervised Autoencoder Networks

Abstract: This paper presents a Self-Supervised Denoising Autoencoder (SSL-DAE) designed for robust and efficient speech denoising in dynamic noise scenarios. Through comprehensive simulation ...
Simon Fraser University

Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder

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 ...
Semiconductor Engineering

Considerations For Accelerating On-Device Stable Diffusion Models

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, ...