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Datasets:
mipal
/
iPhone360

Tasks:
Image-to-3D
Depth Estimation
Modalities:
Image
Text
Languages:
English
Size:
< 1K
ArXiv:
Tags:
3d-reconstruction
dynamic-scenes
gaussian-splatting
novel-view-synthesis
360-degree
License:
Dataset card Data Studio Files
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  1. ._README.md +0 -0
  2. ._block2 +0 -0
  3. ._goat +0 -0
  4. ._jacket +0 -0
  5. ._jelly +0 -0
  6. ._pull-up +0 -0
  7. ._walk-around +0 -0
  8. README.md +71 -1
  9. block2/._camera +0 -0
  10. block2/._dataset.json +0 -0
  11. block2/._depth +0 -0
  12. block2/._extra.json +0 -0
  13. block2/._flow3d_preprocessed +0 -0
  14. block2/._masks +0 -0
  15. block2/._metadata.json +0 -0
  16. block2/._rgb +0 -0
  17. block2/._scene.json +0 -0
  18. block2/._splits +0 -0
  19. block2/dataset.json +534 -0
  20. block2/extra.json +26 -0
  21. block2/metadata.json +1312 -0
  22. block2/scene.json +10 -0
  23. jacket/._camera +0 -0
  24. jacket/._dataset.json +0 -0
  25. jacket/._depth +0 -0
  26. jacket/._extra.json +0 -0
  27. jacket/._flow3d_preprocessed +0 -0
  28. jacket/._masks +0 -0
  29. jacket/._metadata.json +0 -0
  30. jacket/._rgb +0 -0
  31. jacket/._scene.json +0 -0
  32. jacket/._splits +0 -0
  33. jacket/dataset.json +710 -0
  34. jacket/extra.json +26 -0
  35. jacket/metadata.json +1752 -0
  36. jacket/scene.json +10 -0
  37. walk-around/._camera +0 -0
  38. walk-around/._dataset.json +0 -0
  39. walk-around/._depth +0 -0
  40. walk-around/._extra.json +0 -0
  41. walk-around/._flow3d_preprocessed +0 -0
  42. walk-around/._masks +0 -0
  43. walk-around/._metadata.json +0 -0
  44. walk-around/._rgb +0 -0
  45. walk-around/._scene.json +0 -0
  46. walk-around/._splits +0 -0
  47. walk-around/dataset.json +850 -0
  48. walk-around/extra.json +26 -0
  49. walk-around/metadata.json +2102 -0
  50. walk-around/scene.json +10 -0
._README.md ADDED
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._block2 ADDED
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._goat ADDED
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._jacket ADDED
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._jelly ADDED
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._pull-up ADDED
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._walk-around ADDED
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README.md CHANGED
@@ -1,3 +1,73 @@
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  ---
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- license: cc-by-nc-4.0
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-to-3d
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+ - depth-estimation
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+ language:
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+ - en
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+ tags:
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+ - 3d-reconstruction
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+ - dynamic-scenes
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+ - gaussian-splatting
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+ - novel-view-synthesis
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+ - 360-degree
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+ pretty_name: iPhone360
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  ---
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+
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+ # iPhone360 Dataset (Simple Version)
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+
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+ iPhone360 is a benchmark dataset for 360° reconstruction of dynamic objects from monocular video, introduced in the paper:
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+
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+ > **4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video**
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+ > Jae Won Jang, Yeonjin Chang, Wonsik Shin, Juhwan Cho, Nojun Kwak
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+ > [Project Page](https://jaewon040.github.io/4dgs360/) · [arXiv](https://arxiv.org/abs/2603.21618)
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+
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+ ## Dataset Description
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+
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+ iPhone360 features real-world dynamic scenes captured with an iPhone, where **test cameras are positioned at significantly different angles from training views**. This enables evaluation of 360° reconstruction capabilities that existing datasets cannot provide.
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+
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+ ## Dataset Versions
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+
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+ This dataset is distributed in two versions:
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+
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+ - **`simple_version`** (this folder) — RGB/depth/mask/camera/points/splits data plus lightweight VDA depth and lidar alignment, with the heavy 4DGS360-specific intermediate preprocessing outputs (2D/3D tracks, track-anything masks, AnchorTAPIP3D refined depth/tracks, cached scene-normalization tensors) excluded. Much smaller download.
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+ - **[`preprocessed_version`](../preprocessed_version/)** — includes *all* preprocessing outputs required to reproduce 4DGS360 training and evaluation end-to-end. Large footprint.
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+
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+ **If you're quickly adapting iPhone360 to a new paper/method, we recommend starting here with `simple_version`** and evaluating on it first, rather than downloading the full `preprocessed_version`. Only fall back to `preprocessed_version` if you specifically need to reproduce 4DGS360's own training pipeline.
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+
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+ ## Scenes
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+
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+ | Scene | Description |
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+ |-------|-------------|
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+ | `block2` | Dynamic object scene |
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+ | `goat` | Dynamic object scene |
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+ | `jacket` | Dynamic object scene |
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+ | `jelly` | Dynamic object scene |
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+ | `pull-up` | Dynamic object scene |
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+ | `walk-around` | Dynamic object scene |
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+
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+ ## Data Structure
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+
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+ Each scene contains:
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+ - `rgb/` — RGB frames
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+ - `depth/` — Depth maps
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+ - `masks/` — Object masks
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+ - `camera/` — Camera parameters
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+ - `splits/` — Train/test split definitions
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+ - `points.npy` — Initial point cloud
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+ - `dataset.json` / `scene.json` / `metadata.json` — Scene metadata
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+ - `flow3d_preprocessed/` — Lightweight preprocessed data (video depth, lidar-aligned depth); does **not** include the 4DGS360-specific tracks/cache/refined-depth outputs found in `preprocessed_version`
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite:
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+
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+ ```bibtex
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+ @article{jang2025_4dgs360,
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+ title = {4DGS360: 360° Gaussian Reconstruction of Dynamic Objects from a Single Video},
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+ author = {Jang, Jae Won and Chang, Yeonjin and Shin, Wonsik and Cho, Juhwan and Kwak, Nojun},
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+ journal = {arXiv preprint arXiv:2603.21618},
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+ year = {2025},
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+ url = {https://arxiv.org/abs/2603.21618}
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+ }
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+ ```
block2/._camera ADDED
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block2/._dataset.json ADDED
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block2/._extra.json ADDED
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block2/._flow3d_preprocessed ADDED
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block2/._masks ADDED
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block2/._metadata.json ADDED
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block2/._rgb ADDED
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block2/._scene.json ADDED
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block2/._splits ADDED
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