Search Results for author: Peng Xiang

Found 6 papers, 4 papers with code

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths

1 code implementation19 Feb 2022 Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

It moves each point of incomplete input to obtain a complete point cloud, where total distance of point moving paths (PMPs) should be the shortest.

Point Cloud Completion Representation Learning

Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

no code implementations18 Feb 2022 Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han

Most existing point cloud completion methods suffered from discrete nature of point clouds and unstructured prediction of points in local regions, which makes it hard to reveal fine local geometric details.

Image Reconstruction Point Cloud Completion

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

1 code implementation ICCV 2021 Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han

However, previous methods usually suffered from discrete nature of point cloud and unstructured prediction of points in local regions, which makes it hard to reveal fine local geometric details on the complete shape.

Point Cloud Completion

PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths

1 code implementation CVPR 2021 Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

As a result, the network learns a strict and unique correspondence on point-level, which can capture the detailed topology and structure relationships between the incomplete shape and the complete target, and thus improves the quality of the predicted complete shape.

Point Cloud Completion

Signal-to-Noise Ratio of Microwave Photonic Filter With an Interferometric Structure Based on an Incoherent Broadband Optical Source

no code implementations10 May 2020 Long Huang, Ruoming Li, Peng Xiang, Pan Dai, Wenxuan Wang, Mi Li, Xiangfei Chen, Yuechun Shi

Theoretical analysis shows that the SNR is a function of the center frequency of the passband, the modulation index, the chromatic dispersion, and the shape of the IBOS.

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