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

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 for field definitions and loading examples. Run the integrity check before use:

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:

@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}
}