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license: other
license_name: realestate10k
license_link: https://google.github.io/realestate10k/
pretty_name: RealEstate10K test scenes (FineSplat / 2Xplat evaluation split)
task_categories:
- image-to-3d
tags:
- novel-view-synthesis
- gaussian-splatting
- realestate10k
---
# RE10K-test
The 1,600 RealEstate10K test scenes used for the RE10K evaluation of
[FineSplat](https://github.com/hyebinny/FineSplat) (and [2Xplat](https://github.com/HwasikJeong/2Xplat)),
at 640x360, one tar per scene.
```
tars/test_<id>.tar -> test_<id>/scene_meta.json (cameras, OpenCV convention, one entry per frame)
test_<id>/images/<frame>.png (640x360)
test_scenes.txt the 1,600 scene ids, in evaluation order
eval_ctx6_tgt8.json context / target frame indices per scene (6 context, 8 target views)
```
`scene_meta.json` lists, per frame, `transform_matrix` (camera-to-world), `fl_x`, `fl_y`, `cx`, `cy`,
`w`, `h` and the image path relative to the scene folder.
## Usage
```bash
hf download HyebinKim/RE10K-test --repo-type dataset --local-dir re10k_test
cd re10k_test && for t in tars/*.tar; do tar xf "$t"; done # -> test_<id>/ folders
```
Then point `data.data_path` of the FineSplat RE10K eval configs at a text file listing the
`test_<id>/scene_meta.json` paths (`test_scenes.txt` gives the order).
## License
RealEstate10K frames are extracted from YouTube videos and are redistributed here for research
use only, under the terms of the original [RealEstate10K](https://google.github.io/realestate10k/)
release. If you use this data, cite RealEstate10K (Zhou et al., SIGGRAPH 2018).
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