no code implementations • 3 Dec 2023 • Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao
Most of the existing point cloud upsampling methods focus on sparse point cloud feature extraction and upsampling module design.
2 code implementations • 8 Dec 2022 • Xiaoshui Huang, Zhou Huang, Sheng Li, Wentao Qu, Tong He, Yuenan Hou, Yifan Zuo, Wanli Ouyang
These token embeddings are concatenated with a task token and fed into the frozen CLIP transformer to learn point cloud representation.
1 code implementation • 1 Nov 2022 • Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao
In this paper, we propose General Multimodal Fusion (GMF) to learn to reject the correspondence outliers by leveraging both the structure and texture information.
1 code implementation • 18 Nov 2021 • Xiaoshui Huang, Wentao Qu, Yifan Zuo, Yuming Fang, Xiaowei Zhao
In this paper, we propose a new multimodal fusion method to generate a point cloud registration descriptor by considering both structure and texture information.
Ranked #1 on Point Cloud Registration on 3DMatch Benchmark (using extra training data)