Investigating the impact of key algorithm parameters and patient-specific factors on the accuracy of CT ventilation imaging. [PDF]
Lim J +4 more
europepmc +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Using Deep Learning to Choose Optimal Smoothing Values for Equating. [PDF]
Liu C, Cui Z.
europepmc +1 more source
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel +2 more
wiley +1 more source
Development of a spectral library (CROPSPECPK) for major crops through spectroscopy modeling and in-situ spectrometer data. [PDF]
Raza D +9 more
europepmc +1 more source
SAGE: Structure‐Aware Generative Video Transitions between Diverse Clips
Abstract Video transitions aim to synthesize intermediate frames between two clips, but naïve approaches such as linear blending introduce artifacts that limit professional use or break temporal coherence. Traditional techniques (cross‐fades, morphing, frame interpolation) and recent generative inbetweening methods can produce high‐quality plausible ...
Mia Kan, Yilin Liu, Niloy J. Mitra
wiley +1 more source
Beyond linearity - a new Partial Least Squares - Path Modelling (PLS-PM) inner weighting scheme for detecting and approximating nonlinear structural relationships in Structural Equation Models. [PDF]
Mendes JM, Coelho PS.
europepmc +1 more source
Tubes or Ribbons? Comparing Texture‐space Visualization for Multivariate Line Data
Abstract Multivariate line data is critical for analyzing flow fields, agent systems, and dynamic trajectories. Embedding secondary variables along spatial paths using surface‐based primitives such as ribbons and circular tubes introduces challenges related to perspective, scale, and distortion.
B. Russig +3 more
wiley +1 more source
Shape-constrained, changepoint additive models for time series omics data with cpam. [PDF]
Yates LA +3 more
europepmc +1 more source
Quantitative Metrics for Edge Bundling of Network Visualizations
Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source

