GitHub - AllenXiangX SnowflakeNet: (TPAMI 2023) Snowflake Point . . . To resolve this issue, we propose SnowflakeNet with snowflake point deconvolution (SPD) to generate complete point clouds SPD models the generation of point clouds as the snowflake-like growth of points, where child points are generated progressively by splitting their parent points after each SPD
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution . . . 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 cloud and unstructured prediction of points in local regions, which makes it hard to reveal fine local geometric details on the complete shape To resolve this issue, we propose SnowflakeNet with Snowflake Point