Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.
| Date | Stars |
|---|---|
| 2026-07-24 | 321 |
| 2026-07-25 | 321 |
| 2026-07-28 | 322 |
| 2026-07-30 | 322 |
| 2026-08-06 | 322 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Awesome-Physics-Cognition-based-Video-Generation
🚀🚀🚀 This is a repository for organizing papers, codes, and other resources related to physics cognition-based video generation. This repo is being actively updated, please stay tuned!
For more detailed information, please refer to our survey paper: [Exploring the Evolution of Physics Cognition in Video Generation: A Survey](https://arxiv.org/abs/2503.21765).
This paper list covers **T2V, V2V, and dynamic 3D and 4D generation based on physics**, and includes some **world models and world simulators**.
If you find this repository useful, please consider giving us a star 🌟 and a [cite](https://arxiv.org/abs/2503.21765).
## ⚡ Contributing
We welcome feedback, suggestions, and contributions that can help improve this survey and repository and make them valuable resources for the entire community.
We will actively maintain this repository by incorporating new research as it emerges. If you have any suggestions about our taxonomy, please take a look at any missed papers, or update any preprint arXiv paper that has been accepted to some venue.
If you want to add your work or model to this list, please do not hesitate to pull requests.
Markdown format:
```markdown
* Paper Name. [[Paper]](link) [[Code]](link) [[Website]](link) [**Name of Conference or Journal + Year**]
```
## 📖 Table of Contents
- [⚡ Contributing](#-contributing)
- [📖 Table of Contents](#-table-of-contents)
- [Workshops](#workshops)
- [Surveys](#surveys)
- [Basic Schematic Perception for Generation](#basic-schematic-perception-for-generation)
- [Passive Cognition of Physical Knowledge for Generation](#passive-cognition-of-physical-knowledge-for-generation)
- [Active Cognition for World Simulation](#active-cognition-for-world-simulation)
- [Datasets, Benchmarks and Metrics](#datasets-benchmarks-and-metrics)
- [Physical Understanding](#physical-understanding)
- [VLMs, LLMs, MLLMs on Physical Understanding](#vlms-llms-mllms-on-physical-understanding)
- [Benchmarks](#benchmarks)
- [♥️ Star History](#️-star-history)
- [📑 Citation](#-citation)
### Workshops
| Title | Website | Date|
| :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------: |
|[Building Physically Plausible World Models](https://physical-world-modeling.github.io/#call)|[](https://physical-world-modeling.github.io/#call)|ICML 2025 Workshop, Vancouver Saturday, July 19 (Whole-Day Workshop)|
|[1st Workshop on Vision Meets Physics: Synergizing Physical Simulation and Computer Vision](https://visionmeetphysics.github.io/)|[](https://visionmeetphysics.github.io/)|CVPR 2025 Workshop, June 12 (full day), 2025|
### Surveys
| Title | arXiv | Github | WebSite | Pub. & Date |
| :-------------------------------------------------------------------------------------------Excerpt of 111,140 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:59e510071fde0149, topic:video-generation, name:video generation, desc:video generation
matched fp:59e510071fde0149, topic:embodied-ai