Zobrazeno 1 - 10
of 117
pro vyhledávání: '"ZHUANG Yiyu"'
Autor:
Zhuang, Yiyu, He, Yuxiao, Zhang, Jiawei, Wang, Yanwen, Zhu, Jiahe, Yao, Yao, Zhu, Siyu, Cao, Xun, Zhu, Hao
Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2D image data. Although these models are highly generalizable for human
Externí odkaz:
http://arxiv.org/abs/2410.01226
Autor:
He, Yuxiao, Zhuang, Yiyu, Wang, Yanwen, Yao, Yao, Zhu, Siyu, Li, Xiaoyu, Zhang, Qi, Cao, Xun, Zhu, Hao
Creating a 360{\deg} parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such parametric head models, their performance remains inadequate in
Externí odkaz:
http://arxiv.org/abs/2408.00296
Autor:
Gao, Xiangjun, Li, Xiaoyu, Zhuang, Yiyu, Zhang, Qi, Hu, Wenbo, Zhang, Chaopeng, Yao, Yao, Shan, Ying, Quan, Long
Neural 3D representations such as Neural Radiance Fields (NeRF), excel at producing photo-realistic rendering results but lack the flexibility for manipulation and editing which is crucial for content creation. Previous works have attempted to addres
Externí odkaz:
http://arxiv.org/abs/2405.17811
Autor:
Zhuang, Yiyu, Zhang, Qi, Feng, Ying, Zhu, Hao, Yao, Yao, Li, Xiaoyu, Cao, Yan-Pei, Shan, Ying, Cao, Xun
We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based representations with the level of detail (LoD), we introduce a multi-scale
Externí odkaz:
http://arxiv.org/abs/2309.10336
Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. However, little research ever tapped into this task. We argue the major
Externí odkaz:
http://arxiv.org/abs/2305.03302
Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images. However, the use of simplified lighting models such as environment maps to represent non-distant illumin
Externí odkaz:
http://arxiv.org/abs/2304.08757
We propose a parametric model that maps free-view images into a vector space of coded facial shape, expression and appearance with a neural radiance field, namely Morphable Facial NeRF. Specifically, MoFaNeRF takes the coded facial shape, expression
Externí odkaz:
http://arxiv.org/abs/2112.02308
Akademický článek
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Akademický článek
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Autor:
Zeng, Yingchun, Guan, Qiongyao, Su, Yan, Huang, Qiubo, Zhao, Jun, Wu, Minghui, Guo, Qiaohong, Lyu, Qiyuan, Zhuang, Yiyu, Cheng, Andy SK
Publikováno v:
In Asia-Pacific Journal of Oncology Nursing March 2023 10(3)