Results 101 to 110 of about 3,220 (254)

Differentiable Randers‐Finsler Eikonal Solvers

open access: yesComputer Graphics Forum, EarlyView.
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan   +2 more
wiley   +1 more source

Individualized Pathfinding in Rugged Open Terrains Using Semantic Navigation Meshes

open access: yesComputer Graphics Forum, EarlyView.
We introduce semantic navigation meshes for complex outdoor terrains, partitioning space into regions with coherent semantic properties like slope or vegetation density. The resulting graphs enable efficient pathfinding with agent‐specific, parameterized cost functions without precomputation, accelerating search while maintaining path quality close to ...
C. Creus, N. Pelechano, O. Argudo
wiley   +1 more source

FaceIt: Real‐Time On‐Device Identity‐Preserving Portrait Animation

open access: yesComputer Graphics Forum, EarlyView.
A real‐time, on‐device algorithm for animating a single portrait image using detailed facial expressions and motions from a driving video achieving visual quality that can outperform even techniques with significantly higher computational overhead. Abstract Recently, significant progress has been made in generating expressive and temporally coherent ...
M. Dvorožňák   +7 more
wiley   +1 more source

Phong‐Rodrigues Extrinsic Vector‐Field Processing

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporting pointwise evaluation and integration of differential operators.
Hongyi Liu   +4 more
wiley   +1 more source

On Bending in the As‐Rigid‐As‐Possible Deformation Energy

open access: yesComputer Graphics Forum, EarlyView.
Abstract The well‐established As‐Rigid‐As‐Possible (ARAP) energy has various forms. For surface deformation, commonly used energies contain an implicit bending penalty. We present a natural, continuous generalization that incorporates multiple ARAP versions with an implicit, user‐controllable bending penalty.
Ugo Finnendahl, Marc Alexa
wiley   +1 more source

A Composable Spatial Rotation Pointing-Direction Controller via the Hopf Fibration

open access: yesIEEE Access
The problem of stabilizing a rigid body’s reduced attitude—its “pointing direction” in the unit sphere—has at least a thirty year history. Here, by avoiding the prior literature’s cancellation of Coriolis forces,
Timothy M. Greco, Daniel E. Koditschek
doaj   +1 more source

GEODESIC MAPPINGS OF SPACES WITH SPECIAL VECTOR FIELDS

open access: yesMechanics And Mathematical Methods, 2020
V. Kiosak, O. Lesechko
openaire   +1 more source

Arti4D: Statistical Analysis and Modelling of the Spatio‐temporal Variability in Articulated 4D Shapes

open access: yesComputer Graphics Forum, EarlyView.
Abstract We propose a novel framework for the statistical modeling and analysis of the spatio‐temporal shape variability in articulated 4D (i.e., 3D + time) shapes such as human bodies and animals. We treat articulated 3D shapes, represented using parametric models such as SMPL or its variants, as elements of the product space of shape and pose ...
Z. Li, A. Amrani, S. Rai, H. Laga
wiley   +1 more source

Schwarzschild–Letelier Spacetime Surrounded by a King Dark Matter Halo: Geodesic, Shadow, and Thermodynamics

open access: yesUniverse
We investigate a static and spherically symmetric Schwarzschild–Letelier Black Hole immersed in a King Dark Matter Halo and analyze how the combined effects of the cloud of strings and the dark-matter environment modify the spacetime geometry, particle ...
Faizuddin Ahmed, Edilberto O. Silva
doaj   +1 more source

Attention Based Optimization for 3D Shape Registration

open access: yesComputer Graphics Forum, EarlyView.
Abstract Transformers are sequence‐to‐sequence architectures originally designed to handle structurally rigid and order‐sensitive data, such as text and images. At their core, they exploit the attention mechanism, which is permutation‐equivariant and relies on computing token‐to‐token relationships.
A. Riva, L. Olearo, S. Melzi
wiley   +1 more source

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