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pretty_name: RLGS Release Assets
tags:
- 3d-gaussian-splatting
- robustnerf
- rlgs
---
# RLGS release assets
This dataset repository hosts small, versioned auxiliary files needed to
reproduce experiments from [RLGS](https://github.com/rl-every-gs/rlgs).
## RL-AsymGS RobustNeRF masks
`rl_asymgs/robustnerf_masks/` contains the precomputed multi-cue masks used by
the frozen 30,000-iteration RL-AsymGS runs on Yoda, Crab2, Statue, and Android.
The files correspond to the `*-undistorted` RobustNeRF scene layouts expected
by `rl_asymgs/train.sh`.
| Scene | File | SHA-256 |
| --- | --- | --- |
| Yoda | `multi_cue_masks_yoda-undistorted.npz` | `f888c1b315819bb9a81fab6a9264681afd45624cfa8454ed70e1910ff06db298` |
| Crab2 | `multi_cue_masks_crab2-undistorted.npz` | `1163aca63654a351e321a4724e1a8a013d93c149ac9527b54cab1193c46d9ab3` |
| Statue | `multi_cue_masks_statue-undistorted.npz` | `9a2a8c307f5e18fd2cc4286612c75b66f6c447523f2e32012d4f552d82a3704a` |
| Android | `multi_cue_masks_android-undistorted.npz` | `5b448093748c52dd75e242fffea9f8f4096e827145dc5a65ea2cd623347a27c8` |
The public RLGS downloader installs and verifies these files automatically:
```bash
cd rl_asymgs
bash scripts/download_dataset.sh --scene all
```
The original RobustNeRF images, COLMAP reconstructions, DINOv2 weights, and
trained checkpoints are not redistributed here. Users should obtain those
resources from their original providers and follow their respective terms.
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