Special Issue: Deep Learning in Visualization and Image Processing
IEEE Computer Graphics and Applications · 2019
The five papers in this special section focus on deep learning applications in computer graphics. The paper provides a look at deep-learning-based algorithms for a wide range of visualization and image processing applications, including data clustering, brushing, visualization evaluation, flow visualization, and image translation. Clustering is a fundamental tool for data analysis and visualization. While clustering methods based on deep learning have been proposed previously, most of them are parametric, meaning that the number of clusters is known a priori.