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Found 3 papers, 1 papers with code
DGSVis: Visual Analysis of Hierarchical Snapshots in Dynamic Graph
To provide an effective analysis method for this type of dynamic graph data, we propose a snapshot generation algorithm involving Human-In-Loop to help users divide the dynamic graphs into multi-granularity and hierarchical snapshots for further analysis.
Physics-Aware Flow Data Completion Using Neural Inpainting
In this paper we propose a physics-aware neural network for inpainting fluid flow data.
Learning-Based Sampling for Natural Image Matting
Natural matting is a challenging process due to the high number of unknowns in the mathematical modeling of the problem, namely the opacities as well as the foreground and background layer colors, while the original image serves as the single observation.
