| | --- |
| | task_categories: |
| | - video-generation |
| | - text-to-video |
| | language: |
| | - en |
| | tags: |
| | - video |
| | - synthetic |
| | - cinematic |
| | - panoramic image |
| | pretty_name: Scene-Decoupled Video Dataset |
| | size_categories: |
| | - 150G<n<200G |
| | arxiv: 2602.06959 |
| | --- |
| | |
| | # CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation |
| | CVPR 2026: [Arxiv](https://arxiv.org/pdf/2602.06959) | [Project Page](https://karine-huang.github.io/CineScene/) |
| |
|
| | ## 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**: 3,400 scenes (comprising both *whuman* and *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](https://huggingface.co/datasets/KlingTeam/MultiCamVideo-Dataset). |
| | 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/KlingTeam/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 |
| | ``` |
| |
|
| | |
| |
|
