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Point Cloud Completion by Skip-Attention Network With Hierarchical Folding
Point Cloud Upsampling via Disentangled Refinement. CVPR 2021
PF-Net: Point Fractal Network for 3D Point Cloud Completion
Single Image Reflection Removal through Cascaded Refinement
GRNet: Gridding Residual Network for Dense Point Cloud Completion
SAUM: Symmetry-Aware Upsampling Module for Consistent Point Cloud Completion
[CVPR 2021] Variational Relational Point Completion Network -- Present
Graph guided deformation for point cloud completion
Multi-view Based 3D Point Cloud Completion Algorithm for Vehicles
Probabilistic Pixel-Adaptive Refinement Networks
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Last Updated: September 30, 2026
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Authors: Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee Description: Paper: arxiv.org/abs/2004.03327 Source code: github.com/xiaogangw/ Authors: Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu Description: Supplemental video for our CVPR2021 Paper: " Authors: Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, Xinyi Le Description: In this paper, we propose a Learn all the ways Microsoft is a part of CVPR 2020: microsoft.com/en-us/research/event/cvpr-2020/ The spotlight video for GRNet (Xie et al., ECCV 2020). More information: haozhexie.com/project/grnet. SAUM: Symmetry-Aware Upsampling Module for Consistent Video for SAC22 -- Graph Models for Learning and Recognition Track. This is accepted by the IEEE Robotics and Automation Letters (RA-L). Supplementary material to our submitted paper in the 26TH International Conference on Pattern Recognition August 21-25, 2022 ... Authors: Anne S. Wannenwetsch, Stefan Roth Description: Encoder-decoder
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