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README.md

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+---
+language:
+- en
+---
+# 360°-Motion Dataset
+
+[Project page](http://fuxiao0719.github.io/projects/3dtrajmaster) | [Paper](https://drive.google.com/file/d/111Z5CMJZupkmg-xWpV4Tl4Nb7SRFcoWx/view)
+
+![image/png](imgs/dataset.png)
+
+### News
+- [2024-12] We release the V1 dataset (50 entities and 36,000 videos).
+  
+### Data structure
+
+ ```
+  ├── 360Motion-Dataset                   Video Number          Cam-Obj Distance (m)
+    ├── Desert (`desert`)                    18,000
+        ├── location_data.json
+    ├── HDRI                                                      [3.43, 13.01]
+        ├── loc1 (`snowy street`)            3,600
+        ├── loc2 (`park`)                    3,600
+        ├── loc3 (`indoor open space`)       3,600
+        ├── loc11 (`gymnastics room`)        3,600
+        ├── loc13 (`autumn forest`)          3,600
+        ├── location_data.json
+    ├── RefPic
+    ├── CharacterInfo.json
+    ├── Hemi12_transforms.json
+  ```
+
+> **(1) Released Dataset Information**
+
+| Argument                | Description |Argument                | Description |
+|-------------------------|-------------|-------------------------|-------------|
+| **Video Resolution**    | 480×720     |       **Frames/Duration/FPS**        | 99/3.3s/30  |
+| **UE Scenes**    | 6 (1 desert+5 HDRIs)  |       **Video Samples**        | 36,000 |
+| **Hemi12_transforms.json**    | 12 surrounding cameras |      **CharacterInfo.json**        | entity prompts  |
+| **RefPic**    | 50 animals     |       **1/2/3 Trajectory Templates**       | 36/60/35 (121 in total) |
+| **{D/N}_{locX}** | {Day/Night}_{LocationX} |  **{C}_ {XX}_{35mm}** | {Close-Up Shot}_{Cam. Index(1-12)} _{Focal Length}|
+
+
+> **(2) Difference with the Dataset to Train on Our Internal Video Diffusion Model**
+
+The release of the full dataset regarding more entities and UE scenes is 1) still under our internal license check, 2) awaiting the paper decision.
+
+|  Argument              | Released Dataset |       Our Internal Dataset|
+|-------------------------|-------------|-------------------------|
+| **Video Resolution**    | 480×720 (re-rendered) |       384×672     |
+| **Entities**    | 50 (all animals)     |      70 (20 humans+50 animals)  |
+| **Video Samples**    | 36,000   |    54,000   |
+| **Scenes**    | 6  |   9 (+city, forest, asian town)  |
+| **Trajectory Templates**    | 121 |   96  |
+
+> **(3) Load Dataset Sample**
+
+1. Change root path to `dataset`. We provide a script to load our dataset (video & entity & pose sequence) as follows. It will generate the sampled video for visualization in the same folder path.
+
+    ```bash
+    python load_dataset.py
+    ```
+
+2. Visualize the 6DoF pose sequence via Open3D as follows.
+
+    ```bash
+    python vis_trajecotry.py
+    ```
+    After running the visualization script, you will get an interactive window like this.
+
+    <img src="imgs/vis_objstraj.png" width="350" />