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| license: mit | |
| task_categories: | |
| - image-to-3d | |
| tags: | |
| - 3d | |
| # Streaming3D Dataset | |
| [Paper](https://huggingface.co/papers/2605.21472) | [Project Page](https://stream-3d.github.io/stream3d.github.io/) | [Code](https://github.com/kaichen-z/STREAM3D) | |
| This dataset contains assets used by the Streaming3D benchmark. | |
| ## Overview | |
| | Subset | Files | Description | | |
| |---------|----------|--------------------------------------------------| | |
| | DL3DV | 13,724 | 16 indoor/outdoor scenes from DL3DV | | |
| | GSO30 | 20,099 | 30-object subset from Google Scanned Objects | | |
| | NAVI | 28,995 | Navigation evaluation dataset | | |
| | GSO | 67,982 | Full Google Scanned Objects dataset (1032 objects) | | |
| ## Download | |
| You can download individual subsets using `hf download`: | |
| ```bash | |
| hf download WalkerCH/Streaming3D DL3DV/ | |
| hf download WalkerCH/Streaming3D GSO30/ | |
| hf download WalkerCH/Streaming3D NAVI/ | |
| hf download WalkerCH/Streaming3D GSO/ | |
| ``` | |
| Only the subset you request will be downloaded; you do not need to download the entire repository. | |
| --- | |
| ## DL3DV | |
| 16 indoor/outdoor scenes from the DL3DV dataset. Each scene directory contains: | |
| ```text | |
| DL3DV/ | |
| scene_<id>_<hash>_<name>/ | |
| colmap/ # COLMAP reconstruction output (features, matches, sparse model) | |
| da3/ # DA3 format data | |
| images/ # Source images (PNG) | |
| sam3_masks/ # SAM3 segmentation masks | |
| split.json # Train/test split | |
| transforms.json # Camera transforms | |
| scenes.csv # Scene metadata | |
| scenes selected.csv # Selected scene list | |
| ``` | |
| --- | |
| ## GSO30 | |
| `GSO30` is a 30-object subset derived from Google Scanned Objects. Each object | |
| directory contains training renders, evaluation assets, and the original object | |
| mesh/material files. | |
| ### Object List | |
| ```text | |
| alarm backpack bell blocks chicken cream elephant grandfather grandmother hat | |
| leather lion lunch_bag mario oil school_bus1 school_bus2 shoe shoe1 shoe2 | |
| shoe3 soap sofa sorter sorting_board stucking_cups teapot toaster train turtle | |
| ``` | |
| ### Directory Structure | |
| ```text | |
| GSO30/ | |
| <object_id>/ | |
| meshes/ | |
| model.glb | |
| model.obj | |
| model.mtl | |
| texture.png | |
| render_spiral_100/ | |
| images/ | |
| 000.png ... 099.png | |
| masks/ | |
| 000.png ... 099.png | |
| model/ | |
| 000.png ... 099.png | |
| 000.npy ... 099.npy | |
| transforms.json | |
| model_norm.obj | |
| model_norm.mtl | |
| render_mvs_25/ | |
| model_norm.glb | |
| model_norm.obj | |
| model_norm.mtl | |
| model/ | |
| 000.png ... 024.png | |
| 000.npy ... 024.npy | |
| ``` | |
| Some object folders also include auxiliary metadata, thumbnails, or legacy | |
| render folders. The benchmark protocol uses the paths above. | |
| ### Usage | |
| For training or reconstruction input, use all 100 images from: | |
| ```text | |
| GSO30/<object_id>/render_spiral_100/images/{000..099}.png | |
| ``` | |
| The corresponding masks are stored in: | |
| ```text | |
| GSO30/<object_id>/render_spiral_100/masks/{000..099}.png | |
| ``` | |
| Camera metadata for the 100 spiral views is available in: | |
| ```text | |
| GSO30/<object_id>/render_spiral_100/transforms.json | |
| GSO30/<object_id>/render_spiral_100/model/{000..099}.npy | |
| ``` | |
| For evaluation, use the normalized GLB mesh and the 25 provided camera views | |
| from `render_mvs_25`: | |
| ```text | |
| GSO30/<object_id>/render_mvs_25/model_norm.glb | |
| GSO30/<object_id>/render_mvs_25/model/{000..024}.npy | |
| ``` | |
| The matching reference renders for those views are: | |
| ```text | |
| GSO30/<object_id>/render_mvs_25/model/{000..024}.png | |
| ``` | |
| In short, the default protocol is: | |
| 1. Train or reconstruct from all `render_spiral_100/images` frames. | |
| 2. Evaluate by rendering or comparing against `render_mvs_25/model_norm.glb` | |
| using the 25 camera poses in `render_mvs_25/model/*.npy`. | |
| --- | |
| ## GSO | |
| Full Google Scanned Objects dataset containing 1032 objects. | |
| ```text | |
| GSO/ | |
| <object_name>/ | |
| images/ # Object renders (PNG) | |
| ... | |
| ``` | |
| --- | |
| ## NAVI | |
| Navigation evaluation dataset with two difficulty levels. | |
| ```text | |
| NAVI/ | |
| hard/ # Hard difficulty navigation scenes | |
| normal/ # Normal difficulty navigation scenes | |
| src_code/ # Source code for evaluation | |
| README.md # NAVI-specific documentation | |
| ``` |