3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths
Xin Wen, Peng Xiang, Zhizhong Han +4
Point cloud completion concerns to predict missing part for incomplete 3D shapes. A common strategy is to generate complete shape according to incomplete input. However, unordered…
cs.CV2021★ 3 cited
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu +4
Point cloud completion aims to predict a complete shape in high accuracy from its partial observation. However, previous methods usually suffered from discrete nature of point clou…
cs.CV2020
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths
Xin Wen, Peng Xiang, Zhizhong Han +4
The task of point cloud completion aims to predict the missing part for an incomplete 3D shape. A widely used strategy is to generate a complete point cloud from the incomplete one…