no code implementations • 31 Mar 2024 • Tongtong Zhang, Xian Wei, Yuanxiang Li
Non-Euclidean data is frequently encountered across different fields, yet there is limited literature that addresses the fundamental challenge of training neural networks with manifold representations as outputs.
no code implementations • 11 Oct 2023 • Tongtong Zhang, Yuanxiang Li
Unlike coordinate-based neural radiance fields in need of sufficient views of one scene, our model is applicable to single or few inputs and performs well on images from unseen scenes.
no code implementations • 21 Sep 2023 • Tongtong Zhang, Yuanxiang Li
In response, we present SatensoRF, which significantly accelerates the entire process while employing fewer parameters for satellite imagery of large size.
no code implementations • 27 Dec 2021 • Xian Wei, Yanhui Huang, Yangyu Xu, Mingsong Chen, Hai Lan, Yuanxiang Li, Zhongfeng Wang, Xuan Tang
Learning deep models with both lightweight and robustness is necessary for these equipments.
no code implementations • 24 Mar 2019 • Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Bo Jin, Lijun Zhao, Yi Lu Murphey
There are some inadequacies in the language description of this paper that require further improvement.