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README.md
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##
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**PhysInOne** is a large-scale synthetic dataset for visual physics learning and reasoning. It contains **153,810 dynamic 3D scenes** and **2 million annotated videos**, covering **71 basic physical phenomena** across four domains of everyday physics: **mechanics**, **optics**, **fluid dynamics**, and **magnetism**.
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The dataset is designed to support research on physics-aware video generation, future frame prediction, physical property estimation, motion transfer, physical reasoning, and world models.
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##
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| Component | Progress
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| --------------------- | ----------------- | ------------ | --------------------------------- |
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| Rendered Data - Train | `█
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| Rendered Data - Test | `
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| Rendered Data - Val | `
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| 3D Assets | `░░░░░░░░░░` 0%
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| Leaderboard | `░░░░░░░░░░` 0%
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| Baseline code | `░░░░░░░░░░` 0%
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| Data processing | `░░░░░░░░░░` 0%
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##
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<p align="center">
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<img src="./assets/teaser.
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<em>PhysInOne covers dynamic 3D physical scenes across mechanics, fluid dynamics, optics, and magnetism.</em>
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### Video Demo Gallery
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We provide lightweight GIF previews in this README and high-quality MP4 examples as separate files.
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| Mechanics | Fluid Dynamics |
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| ------------------------------------ | -------------------------------- |
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| Optics | Magnetism |
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| --------------------------------- | ------------------------------------ |
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| Domain | High-quality MP4 |
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| -------------- | --------------------------------------------- |
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| Mechanics | [View video](./assets/examples_mechanics.mp4) |
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| Fluid Dynamics | [View video](./assets/examples_fluid.mp4) |
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| Optics | [View video](./assets/examples_optics.mp4) |
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| Magnetism | [View video](./assets/examples_magnetism.mp4) |
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### Dataset Structure
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The exact released structure may vary depending on the hosted version. A recommended structure is shown below.
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## 📌 Summary
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**PhysInOne** is a large-scale synthetic dataset for visual physics learning and reasoning. It contains **153,810 dynamic 3D scenes** and **2 million annotated videos**, covering **71 basic physical phenomena** across four domains of everyday physics: **mechanics**, **optics**, **fluid dynamics**, and **magnetism**.
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The dataset is designed to support research on physics-aware video generation, future frame prediction, physical property estimation, motion transfer, physical reasoning, and world models.
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## 🚀 Release Timetable
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| Component | Progress | Status | Notes |
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| --------------------- | ----------------------------- | ------------ | --------------------------------- |
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| Rendered Data - Train | `█░░░░░░░░░` 5%(5277/122,988) | In progress | Last updated: May 21 |
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| Rendered Data - Test | `░░░░░░░░░░` 0%(0/15411) | In progress | |
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| Rendered Data - Val | `░░░░░░░░░░` 1%(103/15411) | In progress | |
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| 3D Assets | `░░░░░░░░░░` 0% | Not released | Expected around June |
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| Leaderboard | `░░░░░░░░░░` 0% | Ongoing | Link will be added when available |
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| Baseline code | `░░░░░░░░░░` 0% | Not released | Expected around June |
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| Data processing | `░░░░░░░░░░` 0% | Not released | Expected around June |
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## 🎬 Visual Overview
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<p align="center">
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<img src="./assets/teaser.pdf" width="900">
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</p>
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<p align="center">
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<em>PhysInOne covers dynamic 3D physical scenes across mechanics, fluid dynamics, optics, and magnetism.</em>
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</p>
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### Dataset Structure
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The exact released structure may vary depending on the hosted version. A recommended structure is shown below.
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assets/teaser.png
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Git LFS Details
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