Results 71 to 80 of about 1,346,527 (187)

Adaptive Sampling for BRDF Acquisition

open access: yesComputer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi   +3 more
wiley   +1 more source

OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li   +3 more
wiley   +1 more source

Knowledge discovery in hyper-heuristic using case-based reasoning on course timetabling [PDF]

open access: yes, 2002
This paper presents a new hyper-heuristic method using Case-Based Reasoning (CBR) for solving course timetabling problems. The term Hyper-heuristics has recently been employed to refer to 'heuristics that choose heuristics' rather than heuristics that ...
R. Qu   +7 more
core  

Hyper-heuristic driven sustainable wireless networks for crisis-resilient communication systems

open access: yesFrontiers in Communications and Networks
IntroductionCommunication infrastructures are often severely disrupted during natural disasters, armed conflicts, and large-scale humanitarian crises, hindering coordination among emergency responders and affected populations. Rapidly deployable wireless
Samir Haddad   +3 more
doaj   +1 more source

A Column Generation Based Hyper-Heuristic to the Bus Driver Scheduling Problem

open access: yesDiscrete Dynamics in Nature and Society, 2015
Public transit providers are facing continuous pressure to improve service quality and reduce operating costs. Bus driver scheduling is among the most studied problems in this area.
Hong Li, Ying Wang, Shi Li, Sujian Li
doaj   +1 more source

Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics

open access: yesComputer Graphics Forum, EarlyView.
Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley   +1 more source

Edge‐preserving noise for diffusion models

open access: yesComputer Graphics Forum, EarlyView.
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden   +3 more
wiley   +1 more source

Hyper-heuristic decision tree induction [PDF]

open access: yes, 2009
Hyper-heuristics are increasingly used in function and combinatorial optimization. Rather than attempt to solve a problem using a fixed heuristic, a hyper-heuristic approach attempts to find a combination of heuristics that solve a problem (and in turn ...
Corne, David   +5 more
core   +1 more source

NeuHH: A Neuromorphic-Inspired Hyper-Heuristic Framework for Solving the Capacitated Single-Allocation p-Hub Location Routing Problem

open access: yesVehicles
This paper introduces a novel neuromorphic-inspired hyper-heuristic framework (NeuHH) for solving the Capacitated Single-Allocation p-Hub Location Routing Problem (CSAp-HLRP), a challenging combinatorial optimization problem that jointly addresses hub ...
Kassem Danach   +3 more
doaj   +1 more source

Skeletal‐Driven Animation of Anatomical Humans via Neural Deformation Gradients

open access: yesComputer 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

Home - About - Disclaimer - Privacy