Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Gao Xiangjun"'
Autor:
Hu, Wenbo, Gao, Xiangjun, Li, Xiaoyu, Zhao, Sijie, Cun, Xiaodong, Zhang, Yong, Quan, Long, Shan, Ying
Despite significant advancements in monocular depth estimation for static images, estimating video depth in the open world remains challenging, since open-world videos are extremely diverse in content, motion, camera movement, and length. We present
Externí odkaz:
http://arxiv.org/abs/2409.02095
Autor:
Yu, Wangbo, Xing, Jinbo, Yuan, Li, Hu, Wenbo, Li, Xiaoyu, Huang, Zhipeng, Gao, Xiangjun, Wong, Tien-Tsin, Shan, Ying, Tian, Yonghong
Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. In this work, we propose \textbf{ViewCrafter}, a novel method for synthesizing high-fidelity novel views of ge
Externí odkaz:
http://arxiv.org/abs/2409.02048
MagicMan: Generative Novel View Synthesis of Humans with 3D-Aware Diffusion and Iterative Refinement
Autor:
He, Xu, Li, Xiaoyu, Kang, Di, Ye, Jiangnan, Zhang, Chaopeng, Chen, Liyang, Gao, Xiangjun, Zhang, Han, Wu, Zhiyong, Zhuang, Haolin
Existing works in single-image human reconstruction suffer from weak generalizability due to insufficient training data or 3D inconsistencies for a lack of comprehensive multi-view knowledge. In this paper, we introduce MagicMan, a human-specific mul
Externí odkaz:
http://arxiv.org/abs/2408.14211
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:
Yu, Wangbo, Yuan, Li, Cao, Yan-Pei, Gao, Xiangjun, Li, Xiaoyu, Hu, Wenbo, Quan, Long, Shan, Ying, Tian, Yonghong
Recent advances in diffusion models have enabled 3D generation from a single image. However, current methods often produce suboptimal results for novel views, with blurred textures and deviations from the reference image, limiting their practical app
Externí odkaz:
http://arxiv.org/abs/2310.06744
There has been rapid progress recently on 3D human rendering, including novel view synthesis and pose animation, based on the advances of neural radiance fields (NeRF). However, most existing methods focus on person-specific training and their traini
Externí odkaz:
http://arxiv.org/abs/2203.16875
Publikováno v:
In International Journal of Heat and Mass Transfer 1 September 2024 229
Autor:
Jiang, Fan, Gao, Xiangjun, Xu, Bin, Zhang, Guokai, Fan, Chenglei, Tashiro, Shinichi, Tanaka, Manabu, Chen, Shujun
Publikováno v:
In International Journal of Heat and Mass Transfer April 2024 221
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Optics Communications 1 July 2020 466