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SnowflakeNet

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Kuaishou Large Model
Kuaishou Large Model
Sep 30, 2021 · Artificial Intelligence

How SnowflakeNet Revolutionizes Point Cloud Completion with Skip‑Transformer

SnowflakeNet introduces a novel Snowflake Point Deconvolution architecture combined with a Skip‑Transformer to explicitly split and refine points, enabling high‑quality reconstruction of fine local geometry in incomplete point clouds and outperforming prior methods on both dense and sparse benchmarks.

3D visionSkip-TransformerSnowflakeNet
0 likes · 11 min read
How SnowflakeNet Revolutionizes Point Cloud Completion with Skip‑Transformer
Kuaishou Tech
Kuaishou Tech
Sep 17, 2021 · Artificial Intelligence

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

SnowflakeNet introduces a novel Snowflake Point Deconvolution architecture combined with a Skip-Transformer to progressively split seed points, enabling high‑quality point‑cloud completion that preserves fine‑grained geometric details such as smooth surfaces, sharp edges, and corners across dense and sparse datasets.

3D reconstructionSnowflakeNetcomputer vision
0 likes · 10 min read
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer