Zobrazeno 1 - 10
of 868
pro vyhledávání: '"PanWang"'
Autor:
Liu YiFei, Daoruang Krisada
Publikováno v:
SHS Web of Conferences, Vol 183, p 03010 (2024)
The purpose of this research is to study The Historical Background of the Panwang Festival and its Ceremonial Music Characteristics in the Yao Region of Northern Guangdong Province, China.Use qualitative research processes along with field studies. D
Externí odkaz:
https://doaj.org/article/8adc0eefc14440b0b60ad44ae3b66635
Recent advancements in multi-modal pre-training for 3D point clouds have demonstrated promising results by aligning heterogeneous features across 3D shapes and their corresponding 2D images and language descriptions. However, current straightforward
Externí odkaz:
http://arxiv.org/abs/2407.14007
Comprehending natural language instructions is a charming property for both 2D and 3D layout synthesis systems. Existing methods implicitly model object joint distributions and express object relations, hindering generation's controllability. We intr
Externí odkaz:
http://arxiv.org/abs/2407.07580
Recent advancements in large generative models and real-time neural rendering using point-based techniques pave the way for a future of widespread visual data distribution through sharing synthesized 3D assets. However, while standardized methods for
Externí odkaz:
http://arxiv.org/abs/2407.01301
Autor:
Li, Renjie, Pan, Panwang, Yang, Bangbang, Xu, Dejia, Zhou, Shijie, Zhang, Xuanyang, Li, Zeming, Kadambi, Achuta, Wang, Zhangyang, Tu, Zhengzhong, Fan, Zhiwen
The blooming of virtual reality and augmented reality (VR/AR) technologies has driven an increasing demand for the creation of high-quality, immersive, and dynamic environments. However, existing generative techniques either focus solely on dynamic o
Externí odkaz:
http://arxiv.org/abs/2406.13527
Autor:
Pan, Panwang, Su, Zhuo, Lin, Chenguo, Fan, Zhen, Zhang, Yongjie, Li, Zeming, Shen, Tingting, Mu, Yadong, Liu, Yebin
Despite recent advancements in high-fidelity human reconstruction techniques, the requirements for densely captured images or time-consuming per-instance optimization significantly hinder their applications in broader scenarios. To tackle these issue
Externí odkaz:
http://arxiv.org/abs/2406.12459
Autor:
Fan, Zhiwen, Pan, Panwang, Wang, Peihao, Jiang, Yifan, Jiang, Hanwen, Xu, Dejia, Zhu, Zehao, Wang, Dilin, Wang, Zhangyang
In the field of novel-view synthesis, the necessity of knowing camera poses (e.g., via Structure from Motion) before rendering has been a common practice. However, the consistent acquisition of accurate camera poses remains elusive, and errors in pos
Externí odkaz:
http://arxiv.org/abs/2310.03704
Autor:
QinMi Yu, Jirawat Vongphantuset
Publikováno v:
Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022) ISBN: 9789464630459
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c79ae992545f29e54ab0044804287e
https://doi.org/10.2991/978-94-6463-046-6_49
https://doi.org/10.2991/978-94-6463-046-6_49
The accurate estimation of six degrees-of-freedom (6DoF) object poses is essential for many applications in robotics and augmented reality. However, existing methods for 6DoF pose estimation often depend on CAD templates or dense support views, restr
Externí odkaz:
http://arxiv.org/abs/2306.07598