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pro vyhledávání: '"Wang, Daoye"'
Autor:
Bühler, Marcel C., Li, Gengyan, Wood, Erroll, Helminger, Leonhard, Chen, Xu, Shah, Tanmay, Wang, Daoye, Garbin, Stephan, Orts-Escolano, Sergio, Hilliges, Otmar, Lagun, Dmitry, Riviere, Jérémy, Gotardo, Paulo, Beeler, Thabo, Meka, Abhimitra, Sarkar, Kripasindhu
Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hundreds of multi-view input images and are thus inapplicable to cases wit
Externí odkaz:
http://arxiv.org/abs/2410.00630
Autor:
Zhou, Yuxiao, Chai, Menglei, Wang, Daoye, Winberg, Sebastian, Wood, Erroll, Sarkar, Kripasindhu, Gross, Markus, Beeler, Thabo
Despite recent advances in multi-view hair reconstruction, achieving strand-level precision remains a significant challenge due to inherent limitations in existing capture pipelines. We introduce GroomCap, a novel multi-view hair capture method that
Externí odkaz:
http://arxiv.org/abs/2409.00831
Autor:
Bühler, Marcel C., Sarkar, Kripasindhu, Shah, Tanmay, Li, Gengyan, Wang, Daoye, Helminger, Leonhard, Orts-Escolano, Sergio, Lagun, Dmitry, Hilliges, Otmar, Beeler, Thabo, Meka, Abhimitra
NeRFs have enabled highly realistic synthesis of human faces including complex appearance and reflectance effects of hair and skin. These methods typically require a large number of multi-view input images, making the process hardware intensive and c
Externí odkaz:
http://arxiv.org/abs/2309.16859
Autor:
Zhang, Jiawei, Pan, Jinshan, Wang, Daoye, Zhou, Shangchen, Wei, Xing, Zhao, Furong, Liu, Jianbo, Ren, Jimmy
Deblurring can not only provide visually more pleasant pictures and make photography more convenient, but also can improve the performance of objection detection as well as tracking. However, removing dynamic scene blur from images is a non-trivial t
Externí odkaz:
http://arxiv.org/abs/2301.07329
Publikováno v:
In Computer Networks June 2024 247
Autor:
Xu, Lu, Zhang, Yuwei, Liu, Ying, Wang, Daoye, Zhou, Mu, Ren, Jimmy, Wei, Jingwei, Ye, Zhaoxiang
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health. Despite recent advances, CNN-based approaches typically apply filters in a spatially invariant way and adopt similar pixel-le
Externí odkaz:
http://arxiv.org/abs/2105.14758
Recently, consistency-based methods have achieved state-of-the-art results in semi-supervised learning (SSL). These methods always involve two roles, an explicit or implicit teacher model and a student model, and penalize predictions under different
Externí odkaz:
http://arxiv.org/abs/1909.01804
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