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README.md

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+# Scene-Decoupled Video Dataset
+
+TL;DR: The Scene-Decoupled Video Dataset, introduced in CineScene, is a large-scale synthetic dataset for **video generation with decoupled scene**, which encompasses diverse scenes, subjects, and camera movements. This dataset contains camera trajectories, equirectangular panorama (scene image), and videos with/without dynamic subject. The data is organized into "With Human" (whuman) and "Without Human" (wohuman) categories, while panoramas are scene-decoupled and shared across both.
+
+## 1. Directory Tree
+
+```text
+.
+├── camera/                           # Camera trajectories and metadata
+│   ├── whuman/                       # Sequences containing human characters
+│   │   └── <scene_id>/               # e.g., scene1_3x3_loc1_scene_AncientTempleEnv/
+│   │       └── <scene_id>_cam.json   # Camera parameters
+│   └── wohuman/                      # Sequences with environment only
+│       └── <scene_id>/
+│           └── <scene_id>_cam.json
+│
+├── panorama/                         # Scene-decoupled environment maps
+│   └── <scene_id>/                   # Shared between whuman and wohuman
+│       └── <scene_id>_pano.jpeg      # 360° Equirectangular panoramic image
+│
+└── video/                            # Rendered video sequences (MP4)
+    ├── whuman/                       # Videos with human characters
+    │   └── <scene_id>/
+    │       ├── <scene_id>_01_24mm.mp4 # Sub-sequences (01, 02, etc.)
+    │       ├── <scene_id>_02_24mm.mp4
+    │       └── ...
+    └── wohuman/                      # Videos without human characters
+        └── <scene_id>/
+            ├── <scene_id>_01_24mm.mp4
+            ├── ...
+
+```
+
+
+
+## 2. Dataset Statistics
+
+*   **Total Scale**: 46,816 videos.
+*   **Scenes**: 6,688 scenes (comprising 3,344 *whuman* and 3,344 *wohuman* scenes) across 35 high-quality 3D environments.
+*   **Trajectories**: 46,816 camera paths (7 distinct camera trajectories per scene).
+*   **Panorama**: 360° Equirectangular images for every scene, providing a complete background reference for scene conditioning.
+
+| Property | Value |
+| :--- | :--- |
+| **Video Resolution** | 672 x 384 |
+| **Frame Count** | 81 frames per video |
+| **Frame Rate** | 15 FPS |
+| **View Change Range** | Up to 75° |
+| **Decoupled Scene** | 360° Equirectangular (Panorama) |
+| **Panorama Resolution** | 2048 x 1024 |
+
+
+## 3. Dataset Construction
+
+We follow the asset collection pipeline established by **RecamMaster**, but introduce three significant enhancements to support more complex generative tasks:
+
+1.  **Decoupled Scenes**: We provide static 360° panoramic images (Equirectangular) for every scene. This allows for explicit background conditioning and facilitates novel view synthesis from any angle.
+2.  **Extended Camera Range**: Our dataset covers significantly larger view changes (approx. **75°**) compared to the 5–60° range provided in previous datasets [1].
+3.  **Paired Subject/Background Data**: Every scene includes both "with-subject" (*whuman*) and "background-only" (*wohuman*) video sequences. This paired data is ideal for training models on subject-background decoupling, motion transfer, and cinematic composition.
+
+## 4. useful script
+
+- download
+
+```bash
+sudo apt-get install git-lfs
+git lfs install
+git clone https://huggingface.co/datasets/KwaiVGI/Scene-Decoupled-Video-Dataset
+cat Scene-Decoupled-Video-Dataset.part* > Scene-Decoupled-Video-Dataset.tar.gz
+tar -xvf Scene-Decoupled-Video-Dataset.tar.gz
+```
+
+- camera visualization
+
+  To visualize the camera, please refer to [here.](https://huggingface.co/datasets/KlingTeam/MultiCamVideo-Dataset/blob/main/vis_cam.py)
+
+- Perspective Projection
+To extract perspective frames from the panoramic images:
+
+  ```
+  python extract_scene_from_panorama.py
+  ```
+
+  
+
+References
+[1] Bai J, Xia M, Fu X, et al. Recammaster: Camera-controlled generative rendering from a single video[J]. arXiv preprint arXiv:2503.11647, 2025.