CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm

Author:

Xu Mingye1ORCID,Wang Yali1ORCID,Liu Yihao1ORCID,He Tong2ORCID,Qiao Yu1ORCID

Affiliation:

1. ShenZhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

Funder

National Key R&D Program of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Stage-Aware Interaction Network for Point Cloud Completion;Electronics;2024-08-20

2. Cross-Scale Point Cloud Completion Method for Space Non-cooperative Targets Based on Probability Distribution Generation;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

3. IPOCIM: Artificial Intelligent Architecture Design Space Exploration With Scalable Ping-Pong Computing-in-Memory Macro;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-02

4. A Survey of Point Cloud Completion;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. 3D Point Cloud Completion Method Based on Building Contour Constraint Diffusion Probability Model;Applied Sciences;2023-10-13

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