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minnie-linPhysics-informed AI for advanced video generation
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This repository serves as a comprehensive, actively maintained catalog of research papers, code, and related resources focused on integrating physical cognition into video generation. It targets researchers and practitioners seeking to understand and advance the state-of-the-art in physically plausible video synthesis, covering text-to-video (T2V), video-to-video (V2V), and dynamic 3D/4D generation, as well as world models and simulators. The project aims to consolidate and organize this rapidly evolving field, offering a valuable reference for the community.
How It Works
The project functions as a structured, curated collection of academic and technical materials. It categorizes research based on its approach to physical cognition, including basic perception, passive knowledge assimilation, and active world simulation. The listed resources span various generation paradigms and related AI concepts, providing a holistic view of research integrating physics into video generation.
Quick Start & Requirements
This repository is a curated list of research resources, not a software project requiring installation. Users can access links to papers, code repositories, and websites for individual research projects. The primary "requirement" is an interest in the field of physics-cognition-based video generation.
Highlighted Details
Maintenance & Community
The repository is actively maintained and updated with new research. It welcomes community contributions, feedback, and suggestions for improving its taxonomy and content. Users are encouraged to submit pull requests for new work or updates.
Licensing & Compatibility
No specific software license is mentioned for the repository itself. The licensing of individual papers, code, or websites linked within the repository would depend on their respective sources.
Limitations & Caveats
As a curated list, its scope is dependent on community contributions and maintainer curation. It points to external resources rather than providing a unified framework or executable code. Users must consult individual links for project-specific details, dependencies, and licenses.
2 weeks ago
Inactive
StanfordVL