| --- |
| pretty_name: Real4D |
| license: other |
| task_categories: |
| - depth-estimation |
| tags: |
| - 4d |
| - dynamic-scene |
| - multi-view |
| - novel-view-synthesis |
| - camera-pose |
| - gaussian-splatting |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # Real4D |
|
|
| Real4D is a real-domain dynamic-scene dataset generated from synchronized |
| multi-camera captures through geometry-regularized 4D Gaussian Splatting and |
| spacetime camera interpolation. It contains synchronized RGB, dense rendered |
| depth, and analytically prescribed camera metadata. |
|
|
| ## Dataset summary |
|
|
| | Source subset | Scenes | Reference cameras | Trajectories | Frames per trajectory | Total frames | Resolution | |
| |---|---:|---:|---:|---:|---:|---:| |
| | N3DV | 6 | 18--21 | 2,408 | 300 | 722,400 | 1352 x 1014 | |
| | MeetRoom | 4 | 13 | 676 | 300 | 202,800 | 1280 x 720 | |
| | **Total** | **10** | -- | **3,084** | **300** | **925,200** | -- | |
|
|
| Each trajectory is named `cam{a}_{b}`. Camera pose and scene time advance |
| together from reference camera `a` to reference camera `b`. Identity pairs such |
| as `cam00_00` keep the viewpoint fixed while time advances. |
|
|
| ## Released modalities |
|
|
| - RGB: 8-bit JPEG images. |
| - Depth: opacity-normalized rendered depth in 16-bit grayscale PNG. Values are |
| millimeters; zero denotes an invalid or negligible-opacity pixel. |
| - Camera metadata: one JSON manifest per trajectory, with one entry per frame. |
| - Previews: colorized depth images plus 30 fps RGB and depth MP4 files. |
|
|
| Depth is reconstruction-rendered supervision, not sensor ground truth. Camera |
| poses are exact with respect to the prescribed virtual trajectories. |
|
|
| ## Organization |
|
|
| ```text |
| Real4D/ |
| ├── dynerf/ |
| │ └── <scene>/ |
| │ ├── images/<trajectory>/<trajectory>_<frame>.jpg |
| │ ├── depths/<trajectory>/<trajectory>_<frame>.jpg.geometric.png |
| │ ├── depth_vis/<trajectory>/<trajectory>_<frame>.jpg |
| │ ├── camera_params/<trajectory>.json |
| │ └── video/<trajectory>_{rgb,depth}.mp4 |
| ├── meetroom/ |
| │ └── <scene>/ |
| │ └── ... |
| ├── dataset_manifest.json |
| ├── docs/DATA_FORMAT.md |
| └── scripts/ |
| ├── load_frame.py |
| ├── validate_dataset.py |
| └── upload_to_hf.sh |
| ``` |
|
|
| Frame files are numbered from `000001` to `000300`, while JSON list indices are |
| zero-based. The JSON field `image_name` identifies the source reference camera; |
| it is not the generated frame filename. Match frames by trajectory and list |
| index as shown in `scripts/load_frame.py`. |
|
|
| The local generation directories `_scene_cache`, `plane_depths`, |
| `plane_depth_vis`, and `*_plane_depth.mp4` are intermediate artifacts and are |
| not part of the public Real4D release. |
|
|
| See [docs/DATA_FORMAT.md](docs/DATA_FORMAT.md) for field definitions and loading |
| examples. Run the integrity check before use: |
|
|
| ```bash |
| python scripts/validate_dataset.py . |
| python scripts/validate_dataset.py . --full |
| ``` |
|
|
| ## Source data and license |
|
|
| Real4D contains derived renderings of real scenes from two source datasets. |
| The N3DV source dataset is distributed under CC BY-NC 4.0. The official |
| StreamRF materials describe MeetRoom as released for research purposes but do |
| not state an explicit dataset license. Consequently, this dataset card uses |
| `license: other`; the applicable source-dataset terms and required citations |
| must be preserved. Public redistribution of the MeetRoom-derived subset should |
| be confirmed with the original dataset owners before upload. |
|
|
| This notice does not replace the source-dataset licenses or grant additional |
| rights to the underlying captures. |
|
|
| ## Citation |
|
|
| The Real4D paper citation will be added after publication. When using a source |
| subset, also cite its original dataset paper: |
|
|
| ```bibtex |
| @inproceedings{li2022neural3dvideo, |
| title = {Neural 3D Video Synthesis from Multi-view Video}, |
| author = {Li, Tianye and Slavcheva, Miroslava and Zollhoefer, Michael and |
| Green, Simon and Lassner, Christoph and Kim, Changil and |
| Schmidt, Tanner and Lovegrove, Steven and Goesele, Michael and |
| Newcombe, Richard and Lv, Zhaoyang}, |
| booktitle = {CVPR}, |
| year = {2022} |
| } |
| |
| @inproceedings{li2022streaming, |
| title = {Streaming Radiance Fields for 3D Video Synthesis}, |
| author = {Li, Lingzhi and Shen, Zhen and Wang, Zhongshu and Shen, Li and |
| Tan, Ping}, |
| booktitle = {NeurIPS}, |
| year = {2022} |
| } |
| ``` |
|
|
|
|
