Results 111 to 120 of about 6,413,007 (222)

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

As‐Rigid‐As‐Possible Regularization for Implicit Surfaces

open access: yesComputer 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

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

Calculation models for acoustic analysis of sacral objects

open access: yesArchives of Acoustics, 2009
Application of the technique of singular value decomposition (SVD) for analysis of acoustic properties of sacral objects has been presented in the paper.
Krzysztof KOSAŁA
doaj  

Tri‐LoRA: Spectral, Layer‐Selective, and Temporal LoRA Fusion for Preference‐Aligned Image Stylization

open access: yesComputer Graphics Forum, EarlyView.
Abstract Personalized stylization based on subject and style LoRA fusion has emerged as a practical approach for controllable image generation. However, existing methods still struggle to balance subject consistency, style fidelity, and visual preference alignment, and many of them rely on additional training.
D. Zhang   +4 more
wiley   +1 more source

QUANTUM SINGULAR VALUE DECOMPOSITION BASED APPROXIMATION ALGORITHM

open access: yes, 2010
Singular Value Decomposition (SVD) is one of the most useful techniques for analyzing data in linear algebra. SVD decomposes a rectangular real or complex matrix into two orthogonal matrices and one diagonal matrix.
SANDOR IMRE, LASZLO GYONGYOSI
core   +1 more source

The Distributional Effects of Economic Uncertainty*

open access: yesInternational Economic Review, EarlyView.
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber   +2 more
wiley   +1 more source

The Singular-Value Decomposition Multigrid POTFIT (SVD-MGPF) Algorithm

open access: yes, 2016
We present the new Singular-Value Decomposition Multigrid POTFIT (SVD-MGPF), a grid-based tensor decomposition algorithm for large dimensional systems with particular focus on Quantum Dynamical problems.
Pelaez-Ruiz, Daniel
core   +1 more source

IMPLEMENTASI METODE PENYISIPAN TANDA AIR MENGGUNAKAN SINGULAR VALUE DECOMPOSITION (SVD) [PDF]

open access: yes, 2018
Perkembangan IPTEK yang cepat dan0semakin canggih0terutama dalam0teknologi internet dan multimedia memungkinkan0terjadinya penyimpanan dan penyebaran data baik berupa citra, video0maupun audio dengan mudah, sehingga untuk melindungi0citra digital ...
FAHRUROSI AZIZA, AINIYA
core  

Principal Component Analysis for High‐Dimensional Approximate Factor Models in Time Series: Assumptions, Asymptotic Theory, and Identification

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT We consider estimation of large approximate factor models in high‐dimensional panels of stationary time series using Principal Component Analysis (PCA). We review the key results establishing the necessary and sufficient conditions for consistency and asymptotic normality of the estimators, which hold when both the cross‐sectional dimension n$$
Matteo Barigozzi
wiley   +1 more source

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