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 ...
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 ...
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 ...
GitHub

An-identifiable-denoisy-autoencoder-aligning-clinical-and-genomic-data

A PyTorch-based denoising autoencoder inspired by ICE-BeeM's identifiable architecture. Adapted MLP model for aligning clinical-genomic data, emphasizing identifiability to accurately invert genomic ...
IEEE

Denoising Autoencoder and Histogram-GLCM Feature Fusion for Image-Based Classification of Locally Made Earthen Ceramic Pots

Abstract: This study presents an image-based classification approach for assessing the quality of locally made earthen ceramic pots by integrating deep learning with handcrafted texture analysis. A ...