Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients
Computer Graphics Forum, EarlyView.Abstract Most real‐time animation techniques for digital humans are limited to deforming the outer skin surface. Geometric skinning methods are highly efficient but struggle with artifacts such as collapsing joints or self‐intersections when animating inner anatomy along with the outer skin.
G. Nolte +3 more
wiley +1 more source
Computer Graphics Forum, EarlyView.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
Retracted: Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
AN IMPLEMENTATION OF FLEXIBLE RBF NEURAL NETWORKS
, 2009 Tese de mestrado, Informática, Universidade de Lisboa, Faculdade de Ciências ...
openaire +2 more sources
Compactly supported detail field for high quality neural implicit surfaces
Computer Graphics Forum, EarlyView.Abstract Neural implicit surfaces are a powerful tool for encoding a surface as the zero level set of a neural function. Trained using gradient‐descent based optimizers, these methods however suffer from a low‐frequency bias that prevents them to fit fine details of the surface.
Guillaume Coiffier, Justine Basselin
wiley +1 more source
Retracted: Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
International Endodontic Journal, EarlyView.ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems. [PDF]
Front Neuroinform, 2022 Liu H, Zhou G, Zhou Y, Huang H, Wei X.
europepmc +1 more source
A Note on Local Polynomial Regression for Time Series in Banach Spaces
Journal of Time Series Analysis, EarlyView.ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley +1 more source
A photosynthetic rate prediction model using improved RBF neural network. [PDF]
Sci Rep, 2022 Pu L, Li Y, Gao P, Zhang H, Hu J.
europepmc +1 more source