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  ![image/png](imgs/dataset.png)
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  ### News
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- - [2024-12] We release the V1 dataset (50 entities and 36,000 videos).
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  ### Data structure
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  ├── Hemi12_transforms.json
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  ```
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- > **(1) Released Dataset Information**
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  | Argument | Description |Argument | Description |
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  |-------------------------|-------------|-------------------------|-------------|
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  | **{D/N}_{locX}** | {Day/Night}_{LocationX} | **{C}_ {XX}_{35mm}** | {Close-Up Shot}_{Cam. Index(1-12)} _{Focal Length}|
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- > **(2) Difference with the Dataset to Train on Our Internal Video Diffusion Model**
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  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.
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  | **Scenes** | 6 | 9 (+city, forest, asian town) |
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  | **Trajectory Templates** | 121 | 96 |
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- > **(3) Load Dataset Sample**
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  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.
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  ![image/png](imgs/dataset.png)
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  ### News
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+ - [2024-12] We release the V1 dataset (36,000 videos consists of 50 entities, 6 UE scenes, and 121 trajectory templates).
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  ### Data structure
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  ├── Hemi12_transforms.json
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  ```
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+ **(1) Released Dataset Information**
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  | Argument | Description |Argument | Description |
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  |-------------------------|-------------|-------------------------|-------------|
 
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  | **{D/N}_{locX}** | {Day/Night}_{LocationX} | **{C}_ {XX}_{35mm}** | {Close-Up Shot}_{Cam. Index(1-12)} _{Focal Length}|
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+ **(2) Difference with the Dataset to Train on Our Internal Video Diffusion Model**
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  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.
46
 
 
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  | **Scenes** | 6 | 9 (+city, forest, asian town) |
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  | **Trajectory Templates** | 121 | 96 |
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+ **(3) Load Dataset Sample**
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  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.
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