Results 131 to 140 of about 289 (170)
Tracing curves in the plane: Geometric-invariant learning from human demonstrations. [PDF]
Turlapati SH +3 more
europepmc +1 more source
Establishing Shape Correspondences: A Survey
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley +1 more source
CANRIG: Cross‐Attention Neural Face Rigging with Variable Local Control
Abstract Facial animation is one of the most labor‐intensive aspects of animation and VFX, as traditional rigging consumes weeks of expert time and forces animators to spend countless hours manipulating hundreds of controls to achieve varied expressions.
Arad Mohammadi +6 more
wiley +1 more source
Dynamic causal modelling in probabilistic programming languages. [PDF]
Baldy N, Woodman M, Jirsa VK, Hashemi M.
europepmc +1 more source
Abstract Recent advances in AI enable the automatic generation of visualizations directly from textual prompts using agentic workflows. However, visualizations produced via one‐shot generative methods often suffer from insufficient quality, typically requiring a human in the loop to refine the outputs.
Roxana Bujack +4 more
wiley +1 more source
Nonlinear dynamic analysis of shear- and torsion-free rods using isogeometric discretization and outlier removal. [PDF]
Nguyen TH +4 more
europepmc +1 more source
A Simple Grid‐Maps Pipeline: Restructured, Accelerated and Upgraded
Abstract Grid maps – spatially arranged small multiples – are a powerful tool to show complex geospatial data. Meulemans et al. (2020) introduced a pipeline for computing high‐quality grid maps that are shaped roughly according to their containing geographic outlines.
W. Meulemans
wiley +1 more source
Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley +1 more source
The G-OBIM tongue model: An accurate open-source biomechanical model of a male human tongue. [PDF]
Calka M +5 more
europepmc +1 more source
Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map
Abstract Flow maps are a fundamental concept for the visualization and analysis of time‐dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high‐dimensional functions with locally large gradients which makes approximations very challenging.
D. Stelter +3 more
wiley +1 more source

