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@@ -107,10 +107,11 @@ Each scene may contain multi-object and multi-physics interactions in complex 3D
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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 | |
@@ -118,9 +119,8 @@ The dataset is designed to support research on physics-aware video generation, f
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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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- | SubSet | `██████████`100% | Released | |
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- ## 📥 How to Use
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  ### Filtering and Search
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@@ -146,7 +146,7 @@ python scripts/download.py \
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  --output_dir ./PhysInOne
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  ```
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- ### Download by Exported JSON
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  ```bash
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  python scripts/download.py \
@@ -175,13 +175,13 @@ python scripts/download.py \
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  --output_dir ./PhysInOne
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  ```
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- ## 🎬 Visual Overview
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  <p align="center">
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  <img src="assets/teaser.png" width="900">
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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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@@ -223,7 +223,7 @@ PhysInOne/
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  └── visualize_sample.py
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  ```
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- ### 📊 Data Splits
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  PhysInOne is split into train, validation, and test sets. Each split is intended for a different stage of model development and evaluation.
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@@ -233,7 +233,7 @@ PhysInOne is split into train, validation, and test sets. Each split is intended
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  | Validation | Model selection and ablation | Used for validation and development-time evaluation |
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  | Test | Final evaluation | Used for held-out benchmarking and leaderboard submission |
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- ## 🧩 Data Fields
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  ### Abbreviations
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@@ -319,7 +319,7 @@ The following physical-phenomenon IDs are derived from Table 8 in the supplement
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  | ----- | ---- | ----------- |
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  | `id` | | |
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- ## 📝 Annotation Details
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  PhysInOne provides synchronized visual and physical annotations for each dynamic 3D scene.
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@@ -407,14 +407,9 @@ Please specify whether camera extrinsics are stored as world-to-camera or camera
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  ### Point Clouds
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- Each scene may include `points.ply`.
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-
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- Expected behavior:
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- - The point cloud is sampled from the first frame.
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- - It includes multiple camera views after depth back-projection.
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- - It is randomly sampled to approximately **100,000 points**.
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- - The file format is `.ply`.
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  Recommended path format:
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@@ -424,7 +419,7 @@ annotations/pointclouds/{split}/{scene_id}/points.ply
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  Please specify whether point colors, normals, semantic labels, or instance labels are included in the `.ply` file.
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- ## 🧪 Supported Tasks and Benchmarks
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  PhysInOne supports the following visual physics learning and reasoning tasks.
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@@ -436,11 +431,11 @@ PhysInOne supports the following visual physics learning and reasoning tasks.
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  - Motion Transfer
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- ## 📜 License
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  TODO: Add the final dataset license.
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- ## 📚 Citation
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  If you use PhysInOne in your research, please cite:
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@@ -453,7 +448,7 @@ If you use PhysInOne in your research, please cite:
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  }
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  ```
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- ## 📮 Contact
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  For questions about the dataset, please contact:
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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
111
 
112
  | Component | Progress | Status | Notes |
113
  | --------------------- | ----------------------------- | ------------ | --------------------------------- |
114
+ | SubSet | `██████████`100% | Released | |
115
  | Rendered Data - Train | `█░░░░░░░░░` 5%(5277/122,988) | In progress | Last updated: May 21 |
116
  | Rendered Data - Test | `░░░░░░░░░░` 0%(0/15411) | In progress | |
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  | Rendered Data - Val | `░░░░░░░░░░` 1%(103/15411) | In progress | |
 
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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 |
121
  | Data processing | `░░░░░░░░░░` 0% | Not released | Expected around June |
 
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+ # 📥 How to Use
124
 
125
  ### Filtering and Search
126
 
 
146
  --output_dir ./PhysInOne
147
  ```
148
 
149
+ ### Download via Filters
150
 
151
  ```bash
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  python scripts/download.py \
 
175
  --output_dir ./PhysInOne
176
  ```
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178
+ # 🎬 Visual Overview
179
 
180
  <p align="center">
181
  <img src="assets/teaser.png" width="900">
182
  </p>
183
 
184
+ # 📦 Dataset Structure
185
 
186
  The exact released structure may vary depending on the hosted version. A recommended structure is shown below.
187
 
 
223
  └── visualize_sample.py
224
  ```
225
 
226
+ # 📊 Data Splits
227
 
228
  PhysInOne is split into train, validation, and test sets. Each split is intended for a different stage of model development and evaluation.
229
 
 
233
  | Validation | Model selection and ablation | Used for validation and development-time evaluation |
234
  | Test | Final evaluation | Used for held-out benchmarking and leaderboard submission |
235
 
236
+ # 🧩 Data Fields
237
 
238
  ### Abbreviations
239
 
 
319
  | ----- | ---- | ----------- |
320
  | `id` | | |
321
 
322
+ # 📝 Annotation Details
323
 
324
  PhysInOne provides synchronized visual and physical annotations for each dynamic 3D scene.
325
 
 
407
 
408
  ### Point Clouds
409
 
410
+ Each scene should include `points.ply`.
 
 
411
 
412
+ The initial point cloud was obtained by back-projecting the pixels from each camera view in the first frame based on depth, followed by randomly sampling 100,000 points from the resulting data.
 
 
 
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414
  Recommended path format:
415
 
 
419
 
420
  Please specify whether point colors, normals, semantic labels, or instance labels are included in the `.ply` file.
421
 
422
+ # 🧪 Supported Tasks and Benchmarks
423
 
424
  PhysInOne supports the following visual physics learning and reasoning tasks.
425
 
 
431
 
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  - Motion Transfer
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+ # 📜 License
435
 
436
  TODO: Add the final dataset license.
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+ # 📚 Citation
439
 
440
  If you use PhysInOne in your research, please cite:
441
 
 
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  }
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  ```
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+ # 📮 Contact
452
 
453
  For questions about the dataset, please contact:
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