Zobrazeno 1 - 10
of 296
pro vyhledávání: '"Wang, Hanyang"'
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 2024 Dec 1
Despite the success of various methods in addressing the issue of spatial reconstruction of dynamical systems with sparse observations, spatio-temporal prediction for sparse fields remains a challenge. Existing Kriging-based frameworks for spatio-tem
Externí odkaz:
http://arxiv.org/abs/2409.00458
Autor:
Liu, Fangfu, Sun, Wenqiang, Wang, Hanyang, Wang, Yikai, Sun, Haowen, Ye, Junliang, Zhang, Jun, Duan, Yueqi
Advancements in 3D scene reconstruction have transformed 2D images from the real world into 3D models, producing realistic 3D results from hundreds of input photos. Despite great success in dense-view reconstruction scenarios, rendering a detailed sc
Externí odkaz:
http://arxiv.org/abs/2408.16767
In recent years, there has been rapid development in 3D generation models, opening up new possibilities for applications such as simulating the dynamic movements of 3D objects and customizing their behaviors. However, current 3D generative models ten
Externí odkaz:
http://arxiv.org/abs/2406.04338
Autor:
Wu, Kailu, Liu, Fangfu, Cai, Zhihan, Yan, Runjie, Wang, Hanyang, Hu, Yating, Duan, Yueqi, Ma, Kaisheng
In this work, we introduce Unique3D, a novel image-to-3D framework for efficiently generating high-quality 3D meshes from single-view images, featuring state-of-the-art generation fidelity and strong generalizability. Previous methods based on Score
Externí odkaz:
http://arxiv.org/abs/2405.20343
The mainstream paradigm of speech emotion recognition (SER) is identifying the single emotion label of the entire utterance. This line of works neglect the emotion dynamics at fine temporal granularity and mostly fail to leverage linguistic informati
Externí odkaz:
http://arxiv.org/abs/2403.19224
Recent years have witnessed the strong power of 3D generation models, which offer a new level of creative flexibility by allowing users to guide the 3D content generation process through a single image or natural language. However, it remains challen
Externí odkaz:
http://arxiv.org/abs/2403.09625
Autor:
Jiang, Tao, Li, Xingyao, Wang, Hanyang, Pi, Mengting, Hu, Jianguo, Zhu, Zhiqiang, Zeng, Jianguo, Li, Bin, Xu, Zhiyong
Publikováno v:
In Journal of Food Composition and Analysis September 2024 133
Autor:
Fu, Ziwang, Liu, Feng, Wang, Hanyang, Shen, Siyuan, Zhang, Jiahao, Qi, Jiayin, Fu, Xiangling, Zhou, Aimin
Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition. Existing approaches use directional pairwise attention or a message hub to fuse language, visual,
Externí odkaz:
http://arxiv.org/abs/2112.01697
The audio-video based multimodal emotion recognition has attracted a lot of attention due to its robust performance. Most of the existing methods focus on proposing different cross-modal fusion strategies. However, these strategies introduce redundan
Externí odkaz:
http://arxiv.org/abs/2111.02172
The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses gradients to condition the output, resulting in the outputting the sa
Externí odkaz:
http://arxiv.org/abs/2110.11583