Results 271 to 280 of about 4,772,239 (326)

Reusing Geospatial Data of Invasive Alien Insect Species From the Literature: Significance, Challenges, and Potential

Integrative Zoology, EarlyView.
We use bibliometric analysis to evaluate geospatial data reuse for invasive alien insect species (IAIS). Of 1032 relevant publications, 51.0% lacked downloadable raw data. Integrating cross‐regional, temporal, and multi‐species data could address single‐study limitations, but data scarcity remains a barrier.
Shuhao Tan, Yiqi Xu, Qiaoling Lin, Muzi Ge, Yuting Wu, Jianshi Jin   +5 more
wiley   +1 more source

Variational autoencoder-based model improves polygenic prediction in blood cell traits. [PDF]

HGG Adv
Li X, Kharitonova E, Pang M, Wen J, Zhou LY, Raffield L, Zhou H, Yao H, Chen C, Li Y, Sun Q.   +10 more
europepmc   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer, Josef Grün, Maximilian Weiherer, Bernhard Egger, Marc Stamminger, Linus Franke   +5 more
wiley   +1 more source

Deep generative model of RNAs based on variational autoencoder with context-free grammar. [PDF]

Bioinformatics
Terai G, Asai K.
europepmc   +1 more source

Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction

Computer Graphics Forum, EarlyView.
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik, Morten Henkel, Yanjiang He, Victor Czech, Tim Elsner, Isaak Lim, Leif Kobbelt   +6 more
wiley   +1 more source

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets. [PDF]

BMC Bioinformatics
Wang Z, Wu Z, Deng M.
europepmc   +1 more source

Robo‐Saber: Generating and Simulating Virtual Reality Players

Computer Graphics Forum, EarlyView.
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +1 more source

Personalized design aesthetic preference modeling: a variational autoencoder and meta-learning approach for multi-modal feature representation and transfer optimization. [PDF]

Sci Rep
Chen C, Gong Z.
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