Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Luo, Yihao"'
Autor:
Luo, Yihao, Sesia, Dario, Wang, Fanwen, Wu, Yinzhe, Ding, Wenhao, Huang, Jiahao, Shah, Fadong Shi Anoop, Kaural, Amit, Mayet, Jamil, Yang, Guang, Yap, ChoonHwai
Mesh reconstruction of the cardiac anatomy from medical images is useful for shape and motion measurements and biophysics simulations to facilitate the assessment of cardiac function and health. However, 3D medical images are often acquired as 2D sli
Externí odkaz:
http://arxiv.org/abs/2409.02070
Autor:
Chen, Yiwen, Wang, Yikai, Luo, Yihao, Wang, Zhengyi, Chen, Zilong, Zhu, Jun, Zhang, Chi, Lin, Guosheng
We introduce MeshAnything V2, an autoregressive transformer that generates Artist-Created Meshes (AM) aligned to given shapes. It can be integrated with various 3D asset production pipelines to achieve high-quality, highly controllable AM generation.
Externí odkaz:
http://arxiv.org/abs/2408.02555
In this paper, we propose the differentiable voxelization of 3D meshes via the winding number and solid angles. The proposed approach achieves fast, flexible, and accurate voxelization of 3D meshes, admitting the computation of gradients with respect
Externí odkaz:
http://arxiv.org/abs/2407.11272
Autor:
Wang, Fanwen, Luo, Yihao, Wen, Ke, Huang, Jiahao, Ferreira, Pedro F., Luo, Yaqing, Wu, Yinzhe, Munoz, Camila, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, Yang, Guang
Diffusion tensor based cardiovascular magnetic resonance (DT-CMR) offers a non-invasive method to visualize the myocardial microstructure. With the assumption that the heart is stationary, frames are acquired with multiple repetitions for different d
Externí odkaz:
http://arxiv.org/abs/2406.13788
Realistic virtual humans play a crucial role in numerous industries, such as metaverse, intelligent healthcare, and self-driving simulation. But creating them on a large scale with high levels of realism remains a challenge. The utilization of deep i
Externí odkaz:
http://arxiv.org/abs/2308.08857
We propose a self-supervised deep learning-based decoding scheme that enables one-shot decoding of polar codes. In the proposed scheme, rather than using the information bit vectors as labels for training the neural network (NN) through supervised le
Externí odkaz:
http://arxiv.org/abs/2307.08004
Autor:
Peng, Ziqiao, Luo, Yihao, Shi, Yue, Xu, Hao, Zhu, Xiangyu, He, Jun, Liu, Hongyan, Fan, Zhaoxin
Speech-driven 3D face animation technique, extending its applications to various multimedia fields. Previous research has generated promising realistic lip movements and facial expressions from audio signals. However, traditional regression models so
Externí odkaz:
http://arxiv.org/abs/2306.10799
Neuromorphic vision sensors (event cameras) simulate biological visual perception systems and have the advantages of high temporal resolution, less data redundancy, low power consumption, and large dynamic range. Since both events and spikes are mode
Externí odkaz:
http://arxiv.org/abs/2303.07609
Convolutional neural networks (CNNs) have achieved superior performance but still lack clarity about the nature and properties of feature extraction. In this paper, by analyzing the sensitivity of neural networks to frequencies and scales, we find th
Externí odkaz:
http://arxiv.org/abs/2302.12477
As the third generation of neural networks, spiking neural networks (SNNs) are dedicated to exploring more insightful neural mechanisms to achieve near-biological intelligence. Intuitively, biomimetic mechanisms are crucial to understanding and impro
Externí odkaz:
http://arxiv.org/abs/2207.11670