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README.md
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---
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license: other
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license_name: realestate10k
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license_link: https://google.github.io/realestate10k/
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pretty_name: RealEstate10K test scenes (FineSplat / 2Xplat evaluation split)
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task_categories:
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- image-to-3d
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tags:
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- novel-view-synthesis
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- gaussian-splatting
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- realestate10k
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---
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# RE10K-test
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The 1,600 RealEstate10K test scenes used for the RE10K evaluation of
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[FineSplat](https://github.com/hyebinny/FineSplat) (and [2Xplat](https://github.com/HwasikJeong/2Xplat)),
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at 640x360, one tar per scene.
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```
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tars/test_<id>.tar -> test_<id>/scene_meta.json (cameras, OpenCV convention, one entry per frame)
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test_<id>/images/<frame>.png (640x360)
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test_scenes.txt the 1,600 scene ids, in evaluation order
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eval_ctx6_tgt8.json context / target frame indices per scene (6 context, 8 target views)
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```
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`scene_meta.json` lists, per frame, `transform_matrix` (camera-to-world), `fl_x`, `fl_y`, `cx`, `cy`,
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`w`, `h` and the image path relative to the scene folder.
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## Usage
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```bash
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hf download HyebinKim/RE10K-test --repo-type dataset --local-dir re10k_test
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cd re10k_test && for t in tars/*.tar; do tar xf "$t"; done # -> test_<id>/ folders
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```
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Then point `data.data_path` of the FineSplat RE10K eval configs at a text file listing the
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`test_<id>/scene_meta.json` paths (`test_scenes.txt` gives the order).
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## License
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RealEstate10K frames are extracted from YouTube videos and are redistributed here for research
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use only, under the terms of the original [RealEstate10K](https://google.github.io/realestate10k/)
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release. If you use this data, cite RealEstate10K (Zhou et al., SIGGRAPH 2018).
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test_fbfed12d638968c2
|
| 1574 |
+
test_fc174b681e13cdf4
|
| 1575 |
+
test_fc4410feec1308a2
|
| 1576 |
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test_fc50693501976251
|
| 1577 |
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test_fc75727847fd61f4
|
| 1578 |
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test_fc966f25afa3659f
|
| 1579 |
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test_fcfa188fdd8e4cdc
|
| 1580 |
+
test_fd020d75ab5e2fa3
|
| 1581 |
+
test_fd48a65a5e252855
|
| 1582 |
+
test_fd6ee791edb85b45
|
| 1583 |
+
test_fdb60d991671bd45
|
| 1584 |
+
test_fdceb26461ef9adb
|
| 1585 |
+
test_fdd41bb5cab98c86
|
| 1586 |
+
test_fe04a079dc651d9b
|
| 1587 |
+
test_fe26ad446164cb32
|
| 1588 |
+
test_fe625de05cd0a34b
|
| 1589 |
+
test_fe6690ee4f6c7244
|
| 1590 |
+
test_fe8431a1c5bd3c81
|
| 1591 |
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test_fe97f5516fea659b
|
| 1592 |
+
test_fea544b472e9abd1
|
| 1593 |
+
test_feba28a8f1b69de6
|
| 1594 |
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test_fefa62ae2b9915cb
|
| 1595 |
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test_ff20a3e943ea6d63
|
| 1596 |
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test_ff7f5042dddd5e12
|
| 1597 |
+
test_ff887646981745a6
|
| 1598 |
+
test_ff9e265755208438
|
| 1599 |
+
test_ffa95c3b40609c76
|
| 1600 |
+
test_ffe67ac537febe41
|