deep learning

Differentiable Design Galleries: A Differentiable Approach to Explore the Design Space of Transfer Functions

The transfer function is crucial for direct volume rendering (DVR) to create an informative visual representation of volumetric data. However, manually adjusting the transfer function to achieve the desired DVR result can be time-consuming and …

ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots.

Similarity measuring methods are widely adopted in a broad range of visualization applications. In this work, we address the challenge of representing human perception in the visual analysis of scatterplots by introducing a novel deep-learning-based …