Zobrazeno 1 - 10
of 4 845
pro vyhledávání: '"Xu, Lan"'
Autor:
Wang, Penghao, Zhang, Zhirui, Wang, Liao, Yao, Kaixin, Xie, Siyuan, Yu, Jingyi, Wu, Minye, Xu, Lan
Experiencing high-fidelity volumetric video as seamlessly as 2D videos is a long-held dream. However, current dynamic 3DGS methods, despite their high rendering quality, face challenges in streaming on mobile devices due to computational and bandwidt
Externí odkaz:
http://arxiv.org/abs/2409.13648
Autor:
Jiang, Yuheng, Shen, Zhehao, Hong, Yu, Guo, Chengcheng, Wu, Yize, Zhang, Yingliang, Yu, Jingyi, Xu, Lan
Volumetric video represents a transformative advancement in visual media, enabling users to freely navigate immersive virtual experiences and narrowing the gap between digital and real worlds. However, the need for extensive manual intervention to st
Externí odkaz:
http://arxiv.org/abs/2409.08353
Autor:
Qin, Dafei, Lin, Hongyang, Zhang, Qixuan, Qiao, Kaichun, Zhang, Longwen, Zhao, Zijun, Saito, Jun, Yu, Jingyi, Xu, Lan, Komura, Taku
We propose GauFace, a novel Gaussian Splatting representation, tailored for efficient animation and rendering of physically-based facial assets. Leveraging strong geometric priors and constrained optimization, GauFace ensures a neat and structured Ga
Externí odkaz:
http://arxiv.org/abs/2409.07441
Autor:
Dai, Yudi, Wang, Zhiyong, Lin, Xiping, Wen, Chenglu, Xu, Lan, Shen, Siqi, Ma, Yuexin, Wang, Cheng
We introduce HiSC4D, a novel Human-centered interaction and 4D Scene Capture method, aimed at accurately and efficiently creating a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, rich human-human interacti
Externí odkaz:
http://arxiv.org/abs/2409.04398
Sign languages, used by around 70 million Deaf individuals globally, are visual languages that convey visual and contextual information. Current methods in vision-based sign language recognition (SLR) and translation (SLT) struggle with dialogue scen
Externí odkaz:
http://arxiv.org/abs/2409.01073
Autor:
Zheng, Xiaozheng, Wen, Chao, Li, Zhaohu, Zhang, Weiyi, Su, Zhuo, Chang, Xu, Zhao, Yang, Lv, Zheng, Zhang, Xiaoyuan, Zhang, Yongjie, Wang, Guidong, Xu, Lan
In this paper, we present a novel 3D head avatar creation approach capable of generalizing from few-shot in-the-wild data with high-fidelity and animatable robustness. Given the underconstrained nature of this problem, incorporating prior knowledge i
Externí odkaz:
http://arxiv.org/abs/2408.06019
Modeling and capturing the 3D spatial arrangement of the human and the object is the key to perceiving 3D human-object interaction from monocular images. In this work, we propose to use the Human-Object Offset between anchors which are densely sample
Externí odkaz:
http://arxiv.org/abs/2407.20545
This paper studies the effect of single-photon light fields on quantum entanglement between two qubits and multiple identical qubits initially in a direct state. For two qubits, we first analyze the impact of the excited state's weight on single-phot
Externí odkaz:
http://arxiv.org/abs/2406.13198
Autor:
Zhang, Longwen, Wang, Ziyu, Zhang, Qixuan, Qiu, Qiwei, Pang, Anqi, Jiang, Haoran, Yang, Wei, Xu, Lan, Yu, Jingyi
In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensive expertise and efforts. To narrow this disparity, we introduce CLAY,
Externí odkaz:
http://arxiv.org/abs/2406.13897
Autor:
Wang, XiaoYu, Guo, YongHui, Sheng, Hui, Lv, Peili, Zhou, Chi, Huang, Wei, Ta, ShiQin, Huang, Dongbo, Yang, XiuJin, Xu, Lan, Zhou, Hao, Ji, Yusheng
Real-time Bidding (RTB) advertisers wish to \textit{know in advance} the expected cost and yield of ad campaigns to avoid trial-and-error expenses. However, Campaign Performance Forecasting (CPF), a sequence modeling task involving tens of thousands
Externí odkaz:
http://arxiv.org/abs/2405.10681