Request for relevant code sourecs accompanying "Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning"

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I am currently working on a project related to unsupervised learning for point cloud data and came across the paper titled "Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning." I find the concepts introduced in the paper particularly intriguing and believe they could significantly enhance my project.

However, I am having difficulty understanding some of the implementation details that were not fully covered in the paper. Specifically, I am struggling with the seed generation process and how it integrates with the auto-encoder architecture for effective feature learning.

I would greatly appreciate it if someone could share the source codes from the actual implementation. Any additional resources or explanations that could help clarify the procedural steps or architectural decisions would also be incredibly helpful.

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