Results 151 to 160 of about 9,194 (254)

Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities

Computer Graphics Forum, EarlyView.
Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev, L. Bastian, D. Cao, N. El Amrani, P. Roetzer, V. Ehm, R. Marin, H. Nishizawa, S. Morishima, C. Theobalt, N. Navab, D. Cremers, F. Bernard, Z. Lähner, V. Golyanik   +14 more
wiley   +1 more source

Multi-Modal Fusion Frameworks of Subgraph-Optimized Graph Autoencoder for Molecular Property Prediction. [PDF]

J Chem Inf Model
Zhang K, Han C, Zhang F, Lin C, Li Q, Zang T, Zhao Y.   +6 more
europepmc   +1 more source

NAADF: Globally Illuminated Voxel Worlds Accelerated with Nested Axis‐Aligned Distance Fields

Computer Graphics Forum, EarlyView.
Abstract Achieving realistic rendering of 3D scenes in real time using path tracing is challenging due to the high sample count required, with ray tracing as the bottleneck. Focusing on voxels as a geometry representation offers significant opportunities for optimizations, especially for tracing the rays, but also for computing the samples.
A. Ulschmid, M. Ott, J. Macho, M. Wimmer, S. Ohrhallinger   +4 more
wiley   +1 more source

Spatio-temporal graph autoencoder for automated evaluation of human actions in 3D in immersive VR-based training for archaeologists. [PDF]

Sci Rep
Pradisi V, Marini MR, Castelli Gattinara Di Zubiena F, Palermo E, Baiocchi E, Malatesta SG, Cinque L.   +6 more
europepmc   +1 more source

A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations. [PDF]

BMC Bioinformatics, 2021
Shi Z, Zhang H, Jin C, Quan X, Yin Y.
europepmc   +1 more source

MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds

Computer Graphics Forum, EarlyView.
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, Peizhuo Li, Andreas Aristidou, Olga Sorkine‐Hornung   +3 more
wiley   +1 more source

Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation. [PDF]

Brief Bioinform
Mao Y, Quan L, Chen X, Wang S, Zhang G, Li S, Jiang Y, Nie L, Wu T, Meng L, Lyu Q.   +10 more
europepmc   +1 more source

Survey on Compositional 3D Indoor Scene Generation

Computer Graphics Forum, EarlyView.
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam, H. I. D. Pun, A. T. Wang, X. Sun, Q. Wu, H. Lee, A. X. Chang, M. Savva   +7 more
wiley   +1 more source

MAGNET: Multi-view graph autoencoder with cell-gene attention for cell interaction network reconstruction from spatial transcriptomics. [PDF]

PLoS Comput Biol
Han C, Song Z, Xu Z, Chen J.
europepmc   +1 more source

Circadian rhythms of metabolite abundance in Drosophila are largely driven by time of feeding

The FEBS Journal, EarlyView.
Circadian clocks exist in the brain and peripheral tissues such as the Drosophila fat body. Single‐nuclei transcriptomics reveal that the fat body clock generates time‐of‐day differences in metabolic gene transcription, which may also be indirectly controlled by brain clocks.
Sumit Saurabh, Charlene Y. P. Guerrero, Madelyn R. Cusick, Amanda J. Samaras, Taylor M. Stephenson, Sebastian L. Kirkpatrick, Gregory J. Matthews, Daniel J. Cavanaugh   +7 more
wiley   +1 more source