Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs | ScienceToStartup | ScienceToStartup

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References (88)

[1]

DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis

2025Ziyin Zeng, Mingyue Dong et al.

[2]

Graph Regulation Network for Point Cloud Segmentation

2024Zijin Du, Jianqing Liang et al.

[3]

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition

Founder's Pitch

"HPENets leverage novel high-dimensional positional encoding for efficient and effective point cloud processing."

Point Cloud Processing•Score: 7•View PDF ↗

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Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs

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References (88)

Founder's Pitch

"HPENets leverage novel high-dimensional positional encoding for efficient and effective point cloud processing."

Commercial Viability Breakdown

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Efficient Point Cloud Processing with High-Dimensional Positional Encoding and Non-Local MLPs

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References (88)

Founder's Pitch

"HPENets leverage novel high-dimensional positional encoding for efficient and effective point cloud processing."

Commercial Viability Breakdown

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