Results 71 to 80 of about 1,226,644 (182)
Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients
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
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
The Hub Location Problem (HLP) is a challenging combinatorial optimization problem characterized by deceptive search landscapes and strong centralization biases.
Kassem Danach +3 more
doaj +1 more source
A Bi-objective Hyper-Heuristic Support Vector Machines for Big Data Cyber-Security
Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems.
Nasser R. Sabar, Xun Yi, Andy Song
doaj +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
Metaheuristics have become popular tools for solving complex optimization problems; however, the overwhelming number of tools and the fact that many are based on metaphors rather than mathematical foundations make it difficult to choose and apply them to
Daniel F. Zambrano-Gutierrez +3 more
doaj +1 more source
Clusterix: A Hybrid Visualization Model for Hierarchically Clustered Networks
Abstract We introduce Clusterix, a novel hybrid visualization model for representing hierarchically clustered networks, which also supports directed and weighted edges. Clusterix offers an integrated view of both the network and its full cluster hierarchy by compactly visualizing the cluster inclusion tree enriched with links of the network.
Carla Binucci +6 more
wiley +1 more source
Heuristics and Hyper-Heuristics
In the last few years, the society is witnessing ever-growing levels of complexity in the optimization paradigms lying at the core of different applications and processes.
core +1 more source
A practical algorithm for weighted k‐hulls
Abstract The convex hull is a central concept in computational geometry, geometry processing, and generally for summarizing sampled data. Its descriptive power suffers significantly in the presence of noise. The k‐hull, also known as the k‐depth contour in statistics, is the intersection of all half‐spaces that contain all but k data points, i.e. it is
N. Look, H. Meyer, M. Alexa
wiley +1 more source
MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds
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

