Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend

This supplementary material provides comprehensive experimental details and results to complement our main paper. We present: (1) motivation for this paper; (2) the qualitative results of our method in the LAB color space; (3) a detailed introduction to our network architecture, including a specific description of the cubic B-spline interpolation; (4) explorative abalation studies using the intermediate data and visualizations generated during the fine-tuning process; (5) quantitative results using different parameters and numbers of control points; (6) computation performance comparisons with training and testing time; (7) details about our interactive visualization tool; and (8) a detailed explanation of the stimuli in our perceptual study. Our full experimental datasets implementation code and trained models are available at https://osf.io/gb2tx/?view_only = 4d2a269b59bc4144b2806ec2d1a34e11.