Awesome-4D-Spatial-Intelligence  by yukangcao

Navigating 4D spatial intelligence reconstruction from video

Created 3 months ago
351 stars

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Project Summary

Summary This repository serves as a comprehensive, curated bibliography for researchers and practitioners in 4D spatial intelligence, focusing on reconstructing dynamic 3D environments and human interactions from video data. It provides a structured overview of over 500 recent studies, enabling quick assessment of the state-of-the-art and identification of relevant research avenues.

How It Works The project functions as a living document, meticulously organizing academic papers into a hierarchical taxonomy. This structure progresses from fundamental 3D cues like depth estimation and camera pose, through 3D scene components, dynamic 4D scenes, human-centric modeling (including SMPL-based and egocentric approaches), and complex interactions (human-object, human-scene, human-human), culminating in the incorporation of physical laws. Each entry typically links to the paper, project page, and GitHub repository where available.

Quick Start & Requirements This is a curated list of research papers, not a software package. Therefore, there are no installation or execution requirements. Users can browse the categorized list and follow links to access the research papers and their associated code repositories.

Highlighted Details

  • Extensive coverage of over 500 recent studies in 4D spatial intelligence.
  • Hierarchical organization from low-level 3D cues to complex 4D scene understanding and human-centric interactions.
  • Links to papers, project pages, and GitHub repositories for many entries, facilitating direct access to code and further details.
  • Continuous updates and community contribution model for ongoing relevance.

Maintenance & Community The repository is maintained by yukangcao and actively encourages community contributions through issues and pull requests for new resources, methodology improvements, or corrections. This collaborative approach ensures the list remains up-to-date with the rapidly evolving field of 4D spatial intelligence.

Licensing & Compatibility As a curated list of research papers and links, the repository itself does not impose a specific software license. The licensing of individual papers and linked code repositories would need to be checked separately. Compatibility is determined by the requirements of the linked research projects.

Limitations & Caveats The repository is a bibliography and does not provide executable code or a unified framework. The quality and completeness of information for each entry depend on the original authors and contributors. The sheer volume of papers may require significant effort to navigate and synthesize.

Health Check
Last Commit

4 days ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
0
Star History
41 stars in the last 30 days

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