Collection of point cloud papers and datasets
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This repository serves as a curated collection of papers and datasets related to 3D point clouds, primarily targeting researchers and practitioners in computer vision and robotics. It aims to provide a comprehensive overview of the state-of-the-art in point cloud analysis, covering various sub-fields and offering a valuable resource for staying updated on advancements.
How It Works
The repository is structured as a comprehensive list of academic papers, categorized by their primary research focus within 3D point cloud processing. This includes areas such as object detection, segmentation, registration, completion, and more. Each entry typically links to the paper's official page, GitHub repository, or relevant project page, facilitating easy access to code and further details.
Quick Start & Requirements
This repository is a curated list and does not have a direct installation or execution command. It requires a web browser to access the README and follow the provided links to external resources.
Highlighted Details
Maintenance & Community
The repository is maintained by zhulf0804. It does not explicitly mention community channels like Discord or Slack, but the nature of the content encourages community contributions and updates.
Licensing & Compatibility
The repository itself is a collection of links and does not have a specific license. The licensing of individual papers and their associated code will vary based on their respective sources.
Limitations & Caveats
As a curated list, the repository's content is dependent on the maintainer's ongoing efforts to update it with the latest research. The accuracy and availability of external links are subject to change.
11 months ago
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