Zobrazeno 1 - 10
of 155
pro vyhledávání: '"GUO, YUDONG"'
We introduce PortraitGen, a powerful portrait video editing method that achieves consistent and expressive stylization with multimodal prompts. Traditional portrait video editing methods often struggle with 3D and temporal consistency, and typically
Externí odkaz:
http://arxiv.org/abs/2409.13591
We introduce PICA, a novel representation for high-fidelity animatable clothed human avatars with physics-accurate dynamics, even for loose clothing. Previous neural rendering-based representations of animatable clothed humans typically employ a sing
Externí odkaz:
http://arxiv.org/abs/2407.05324
We propose FlashAvatar, a novel and lightweight 3D animatable avatar representation that could reconstruct a digital avatar from a short monocular video sequence in minutes and render high-fidelity photo-realistic images at 300FPS on a consumer-grade
Externí odkaz:
http://arxiv.org/abs/2312.02214
Collecting and labeling training data is one important step for learning-based methods because the process is time-consuming and biased. For face analysis tasks, although some generative models can be used to generate face data, they can only achieve
Externí odkaz:
http://arxiv.org/abs/2304.00838
Autor:
Shi, Feifei, Ning, Huansheng, Zhang, Xiaohong, Li, Rongyang, Tian, Qiaohui, Zhang, Shiming, Zheng, Yuanyuan, Guo, Yudong, Daneshmand, Mahmoud
The Metaverse depicts a parallel digitalized world where virtuality and reality are fused. It has economic and social systems like those in the real world and provides intelligent services and applications. In this paper, we introduce the Metaverse f
Externí odkaz:
http://arxiv.org/abs/2211.05832
Publikováno v:
ACM Trans. Graph. 41, 6, Article 200 (December 2022), 12 pages
We present a novel semantic model for human head defined with neural radiance field. The 3D-consistent head model consist of a set of disentangled and interpretable bases, and can be driven by low-dimensional expression coefficients. Thanks to the po
Externí odkaz:
http://arxiv.org/abs/2210.06108
Publikováno v:
In Chemical Engineering Journal 15 September 2024 496
Publikováno v:
Received by IEEE Transactions on Multimedia (2021)
Recovery of a 3D head model including the complete face and hair regions is still a challenging problem in computer vision and graphics. In this paper, we consider this problem using only a few multi-view portrait images as input. Previous multi-view
Externí odkaz:
http://arxiv.org/abs/2107.04277
Autor:
Guo, Peiyuan, Ye, Chenxi, Guo, Yudong, Chen, Zhenjun, Zhang, Zining, Zhou, Chu, Xiao, Wenbo, Wen, He, Wang, Yiming, Huang, Haowei, Zhang, Menglong
Publikováno v:
In Journal of Environmental Chemical Engineering April 2024 12(2)
In this paper, we propose StereoPIFu, which integrates the geometric constraints of stereo vision with implicit function representation of PIFu, to recover the 3D shape of the clothed human from a pair of low-cost rectified images. First, we introduc
Externí odkaz:
http://arxiv.org/abs/2104.05289