Results 161 to 170 of about 1,172,362 (258)

ScEnsemble: weighted hypergraph ensemble clustering for single-cell RNA sequencing. [PDF]

BMC Bioinformatics
Uncu B, Yavuz I.
europepmc   +1 more source

Adaptive Sampling for BRDF Acquisition

Computer 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, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 more
wiley   +1 more source

Self-Perceived Knowledge, Self-Efficacy, and Reported Integration of Generative Artificial Intelligence Among University Faculty: An Exploratory Profile Analysis. [PDF]

Behav Sci (Basel)
Castro-Castillo G, Bosquez-Barcenes V, Vinueza-Morales M, Vidal-Silva C.   +3 more
europepmc   +1 more source

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

Exploratory Grouping Along a Shared Oral-Health Burden Continuum in Children and Adolescents: An Age-Stratified Cluster Analysis. [PDF]

Medicina (Kaunas)
Bugala NM, Bugala SA, Țuculină MJ, Camen AR, Capitanescu AN, Cadea D, Macovei A, Selaru L, Rica AM, Albulescu DM.   +9 more
europepmc   +1 more source

Story2Board: A Training‐Free Approach for Expressive Visual Storytelling

Computer Graphics Forum, EarlyView.
Abstract We present Story2Board, a training‐free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing.
D. Dinkevich, M. Levy, O. Avrahami, D. Samuel, D. Lischinski   +4 more
wiley   +1 more source

Clinical phenotype identification based on inflammation-nutrition-coagulation biomarkers in advanced non-small cell lung cancer. [PDF]

Front Nutr
Zhao H, Wang Y, Zhao S.
europepmc   +1 more source

A Texture‐Free Multi‐Scale Model for Surface‐Based Rendering of Knitted Fabrics

Computer Graphics Forum, EarlyView.
Abstract Knitted fabrics present unique challenges for realistic rendering due to their complicated structure and scale‐dependent appearance. Existing methods typically rely on explicit yarn geometry, which is computationally complex, or texture‐based representations that require heavy storage and precomputed maps. In this paper, we introduce the first
Apoorv Khattar, Jean‐Marie Aubry, Ling‐Qi Yan, Zahra Montazeri   +3 more
wiley   +1 more source

Using Long Short-Term Memory and Causal Forest to Identify Preeclampsia Subtypes with Differential Aspirin Associations for Preterm Birth Prevention. [PDF]

Bioengineering (Basel)
Liu C, Su Y, Wei Y, Li Y, Bao C, Qiao R.
europepmc   +1 more source

LeafFit: Plant Assets Creation from 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley   +1 more source