Results 101 to 110 of about 20,169 (249)
Medial Axis Aware Learning of Signed Distance Functions
Computer Graphics Forum, EarlyView.Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier +2 more
wiley +1 more source
As‐Rigid‐As‐Possible Regularization for Implicit Surfaces
Computer Graphics Forum, EarlyView.Abstract Implicit surface representations have regained popularity because of their use in machine learning. A common component in optimization is regularization, penalizing the deviation of the surface from its original shape. The popular as‐rigid‐as‐possible (Arap) energy strikes a good compromise between realistic deformation behavior and efficient ...
T. Djuren +3 more
wiley +1 more source
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
Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns
Computer Graphics Forum, EarlyView.Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner +2 more
wiley +1 more source
MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds
Computer Graphics Forum, EarlyView.Abstract We introduce stylized phase manifolds—a compact, interpretable latent representation that disentangles motion content (e.g. “jumping”, “walking”), the temporal structure (e.g. motion cycle frequency, gait timing), and style (i.e. how the motion is performed). Learned in an unsupervised manner and inherently low‐dimensional, the manifold offers
Jingyuan Li +3 more
wiley +1 more source
Common pathways and outliers in glucose catabolism across Trypanosomatidae
The FEBS Journal, EarlyView.Trypanosomatid parasites, including Trypanosoma sp., Leishmania sp., Phytomonas sp., and Vickermania sp., share a common motif: a metabolism built around the glycosome, a unique peroxisome‐derived organelle housing the first steps of glycolysis. Yet, these organisms have evolved remarkably diverse strategies to catabolize glucose, excreting distinct ...
Fred R. Opperdoes +5 more
wiley +1 more source
Understanding exosomes in regenerative dentistry
Periodontology 2000, EarlyView.Abstract Background Regenerative dentistry is shifting from cell‐based strategies to cell‐free biologics capable of orchestrating intricate tissue repair. Exosomes, nanosized extracellular vesicles carrying bioactive molecular payloads, have emerged as central modulators of intercellular communication.
Paras Ahmad +2 more
wiley +1 more source
Opponent modeling in a PGM framework [PDF]
International Joint Conference on Autonomous Agents and Multiagent Systems, 2013 Sønderberg-Madsen, Nicolaj +2 more
openaire +2 more sources
School Science and Mathematics, EarlyView.ABSTRACT The importance of Science, Technology, Engineering, and Mathematics (STEM) subjects for the present and future society is clear. With assessments such as the Programme for International Student Assessment (PISA), the possibility of an analysis on student‐related variables predicting results in STEM areas opens. The aim was to identify the PISA
Pedro Gil‐Madrona +3 more
wiley +1 more source