Density estimation plays a crucial role in many data analysis tasks, as it infers continuous probability density function (PDF) from discrete samples. Thus, is used tasks diverse analyzing population data, spatial locations 2D sensor readings, or reconstructing scenes 3D scans. In this paper, we introduce learned, data-driven deep (DDE) to infer PDFs an accurate and efficient manner, while bein...

Example-based mesh deformation methods are powerful tools for realistic shape editing. However, existing techniques typically combine all the example modes, which can lead to overfitting, i.e., using an overly complicated model explain user-specified deformation. This leads implausible or unstable results, including unexpected global changes outside region of interest. To address this fundament...

Abstract Images and videos are by now a dominant part of the information flowing on Internet preferred communication means for younger generations. Besides providing information, they elicit emotional responses, much stronger than text does. It is probably these reasons that advent AI-powered deepfakes, realistic relatively easy to generate, has raised great concern among governments ordinary p...