Recurrent Multi-View Alignment Network for Unsupervised Surface Registration
Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao
2021Year
8Top-tier citations
Abstract
Mask & Depth Figure 1 . We propose RMA-Net for non-rigid registration. With a recurrent unit, the network iteratively deforms the input surface shape stage by stage until converging to the target. RMA-Net is totally trained in an unsupervised manner by aligning the source and target shapes via our proposed multi-view 2D projection loss.
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Cited by top-tier papers8
- Neural Points: Point Cloud Representation with Neural Fields for Arbitrary UpsamplingWanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo et al.CVPR 2022 · 81 citations
- Reliable Inlier Evaluation for Unsupervised Point Cloud RegistrationYaqi Shen, Le Hui, Haobo Jiang, Jin Xie et al.AAAI 2022 · 65 citations
- A Robust Loss for Point Cloud RegistrationZhi Deng, Yuxin Yao, Bailin Deng, Juyong ZhangICCV 2021 · 28 citations
- Coherent Point Drift Revisited for Non-rigid Shape Matching and RegistrationAoxiang Fan, Jiayi Ma, Xin Tian, Xiaoguang Mei et al.CVPR 2022 · 25 citations
- Inlier Confidence Calibration for Point Cloud RegistrationYongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong et al.CVPR 2024 · 18 citations
Builds on7
- Deep Closest Point: Learning Representations for Point Cloud RegistrationYue Wang, Justin SolomonICCV 2019 · 1,026 citations
- Recursive Cascaded Networks for Unsupervised Medical Image RegistrationShengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan XuICCV 2019 · 289 citations
- Quasi-Newton Solver for Robust Non-Rigid RegistrationYuxin Yao, Bailin Deng, Weiwei Xu, Juyong ZhangCVPR 2020
- Self-Supervised Human Depth Estimation From Monocular VideosFeitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu et al.CVPR 2020
- Deep Global RegistrationChristopher B. Choy, Wei Dong, Vladlen KoltunCVPR 2020
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