Add RLGS models, results and model card

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README.md

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+---
+license: mit
+tags:
+- gaussian-splatting
+- 3d-gaussian-splatting
+- reinforcement-learning
+- novel-view-synthesis
+---
+
+# RLGS models
+
+Pretrained 3D Gaussian Splatting models and per-scene evaluation results for
+**RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting**.
+
+Paper: [arXiv:2508.04078](https://arxiv.org/abs/2508.04078)
+
+## Repository layout
+
+```
+rlgs_tmgs/
+  tandt/<scene>/        # Tanks and Temples
+  db/<scene>/           # Deep Blending
+  dl3dv/<scene>/        # DL3DV
+rlgs_mcmc/
+  mipnerf360/<scene>/   # Mip-NeRF 360
+```
+
+Each scene folder contains:
+
+| File | Contents |
+|---|---|
+| `point_cloud/iteration_30000/point_cloud.ply` | Trained Gaussians at iteration 30,000 |
+| `results.json` | PSNR, SSIM and LPIPS |
+
+## Download
+
+```bash
+hf download stack93/RLGS_models --local-dir RLGS_models --include "rlgs_tmgs/tandt/truck/*"
+```
+
+Remove `--include` to download everything (about 44 GB).
+
+## Results
+
+Metrics from each scene's `results.json`, at iteration 30,000.
+
+| Dataset | Folder | Scenes | PSNR (dB) | SSIM | LPIPS |
+|---|---|---:|---:|---:|---:|
+| Tanks and Temples | `rlgs_tmgs/tandt` | 2 | 24.74 | 0.866 | 0.158 |
+| Deep Blending | `rlgs_tmgs/db` | 2 | 30.26 | 0.911 | 0.233 |
+| DL3DV | `rlgs_tmgs/dl3dv` | 140 | 29.96 | 0.912 | 0.125 |
+| Mip-NeRF 360 | `rlgs_mcmc/mipnerf360` | 7 | 30.12 | 0.897 | 0.144 |
+
+### Tanks and Temples
+
+| Scene | PSNR (dB) | SSIM | LPIPS |
+|---|---:|---:|---:|
+| train | 23.24 | 0.837 | 0.191 |
+| truck | 26.25 | 0.895 | 0.124 |
+
+### Deep Blending
+
+| Scene | PSNR (dB) | SSIM | LPIPS |
+|---|---:|---:|---:|
+| drjohnson | 29.88 | 0.910 | 0.232 |
+| playroom | 30.65 | 0.913 | 0.234 |
+
+### DL3DV
+
+<details>
+<summary>Show all 140 scenes</summary>
+
+| Scene | PSNR (dB) | SSIM | LPIPS |
+|---|---:|---:|---:|
+| 032dee | 31.94 | 0.937 | 0.087 |
+| 0569e8 | 29.96 | 0.929 | 0.059 |
+| 06da79 | 29.19 | 0.913 | 0.138 |
+| 073f5a | 23.96 | 0.737 | 0.266 |
+| 07d9f9 | 38.85 | 0.984 | 0.023 |
+| 085397 | 35.49 | 0.963 | 0.076 |
+| 093ef3 | 31.91 | 0.956 | 0.097 |
+| 0a1b7c | 33.87 | 0.967 | 0.077 |
+| 0a4853 | 33.25 | 0.956 | 0.076 |
+| 0bfdd0 | 25.94 | 0.808 | 0.208 |
+| 119fd5 | 27.47 | 0.866 | 0.218 |
+| 126493 | 24.25 | 0.760 | 0.218 |
+| 14eb48 | 29.28 | 0.898 | 0.185 |
+| 15ff83 | 27.89 | 0.871 | 0.132 |
+| 165f5a | 25.65 | 0.813 | 0.178 |
+| 183dd2 | 31.34 | 0.939 | 0.126 |
+| 1ba74c | 32.94 | 0.934 | 0.169 |
+| 1d6a9e | 23.23 | 0.780 | 0.183 |
+| 1da888 | 33.85 | 0.958 | 0.095 |
+| 1de58b | 37.46 | 0.980 | 0.037 |
+| 238554 | 29.46 | 0.932 | 0.083 |
+| 26fd23 | 30.38 | 0.908 | 0.114 |
+| 280abf | 32.10 | 0.953 | 0.085 |
+| 286239 | 26.01 | 0.866 | 0.126 |
+| 2991a7 | 26.30 | 0.854 | 0.164 |
+| 2b65ba | 28.30 | 0.913 | 0.120 |
+| 2beaca | 32.86 | 0.956 | 0.066 |
+| 2cbfe2 | 35.65 | 0.974 | 0.045 |
+| 2f3e1c | 28.21 | 0.888 | 0.149 |
+| 32c2b9 | 32.75 | 0.927 | 0.205 |
+| 341b4f | 28.93 | 0.943 | 0.096 |
+| 35317e | 27.92 | 0.887 | 0.117 |
+| 358723 | 33.51 | 0.964 | 0.051 |
+| 374ffd | 33.58 | 0.952 | 0.070 |
+| 387eeb | 32.95 | 0.953 | 0.081 |
+| 389a46 | 32.35 | 0.941 | 0.186 |
+| 3b16a1 | 26.19 | 0.860 | 0.155 |
+| 3b7529 | 32.44 | 0.950 | 0.086 |
+| 3bb3bb | 30.50 | 0.946 | 0.111 |
+| 3bb894 | 28.44 | 0.904 | 0.105 |
+| 410367 | 32.89 | 0.958 | 0.078 |
+| 444da1 | 28.05 | 0.932 | 0.116 |
+| 457e9a | 29.02 | 0.919 | 0.188 |
+| 484c0a | 27.91 | 0.920 | 0.154 |
+| 493816 | 28.96 | 0.928 | 0.065 |
+| 4ae797 | 30.28 | 0.940 | 0.088 |
+| 4ff865 | 34.09 | 0.965 | 0.063 |
+| 50c46c | 32.56 | 0.947 | 0.135 |
+| 513e4e | 30.57 | 0.932 | 0.116 |
+| 54bf35 | 28.84 | 0.905 | 0.117 |
+| 56452d | 25.19 | 0.792 | 0.230 |
+| 565553 | 29.76 | 0.929 | 0.084 |
+| 599ca3 | 27.42 | 0.895 | 0.160 |
+| 5a27c0 | 31.55 | 0.960 | 0.063 |
+| 5a69d1 | 26.01 | 0.844 | 0.133 |
+| 5c3af5 | 31.73 | 0.952 | 0.053 |
+| 5c8daf | 31.52 | 0.955 | 0.098 |
+| 5f0041 | 33.94 | 0.969 | 0.046 |
+| 63798f | 32.20 | 0.941 | 0.187 |
+| 669c36 | 28.80 | 0.933 | 0.111 |
+| 66fd66 | 33.53 | 0.965 | 0.082 |
+| 6d2216 | 27.62 | 0.862 | 0.225 |
+| 6d81c5 | 24.80 | 0.829 | 0.230 |
+| 6e11e7 | 34.06 | 0.959 | 0.165 |
+| 70eac6 | 27.53 | 0.922 | 0.104 |
+| 71b2dc | 35.46 | 0.974 | 0.063 |
+| 75fbbe | 30.82 | 0.939 | 0.099 |
+| 7705a2 | 31.48 | 0.908 | 0.189 |
+| 7a9f97 | 31.00 | 0.926 | 0.116 |
+| 7da3db | 29.14 | 0.917 | 0.148 |
+| 800cf8 | 27.47 | 0.870 | 0.146 |
+| 8324b3 | 25.88 | 0.887 | 0.139 |
+| 85cd0e | 29.11 | 0.906 | 0.145 |
+| 8b9fb9 | 24.44 | 0.825 | 0.172 |
+| 8cb2e9 | 31.67 | 0.924 | 0.155 |
+| 8fdc51 | 29.46 | 0.913 | 0.125 |
+| 90cb7e | 30.15 | 0.938 | 0.091 |
+| 917e9c | 32.14 | 0.955 | 0.077 |
+| 918c8d | 27.61 | 0.892 | 0.138 |
+| 91afb9 | 32.66 | 0.956 | 0.076 |
+| 946f49 | 33.05 | 0.952 | 0.065 |
+| 9641a1 | 26.71 | 0.856 | 0.237 |
+| 9c8c0e | 25.97 | 0.821 | 0.155 |
+| 9cbc55 | 30.85 | 0.945 | 0.078 |
+| 9e9a89 | 31.97 | 0.950 | 0.156 |
+| 9fb058 | 28.37 | 0.928 | 0.087 |
+| a17a98 | 31.20 | 0.952 | 0.094 |
+| a40146 | 28.09 | 0.898 | 0.122 |
+| a62c33 | 27.15 | 0.894 | 0.123 |
+| a62f9a | 32.26 | 0.955 | 0.087 |
+| a726c1 | 26.24 | 0.899 | 0.191 |
+| adb95f | 27.01 | 0.842 | 0.181 |
+| adf351 | 30.42 | 0.906 | 0.204 |
+| af0d70 | 27.37 | 0.906 | 0.124 |
+| b2076b | 30.02 | 0.944 | 0.104 |
+| b3bf90 | 30.38 | 0.923 | 0.099 |
+| b4f530 | 31.42 | 0.951 | 0.063 |
+| b5faa2 | 28.65 | 0.852 | 0.238 |
+| b6d113 | 30.75 | 0.951 | 0.060 |
+| b92b49 | 33.79 | 0.962 | 0.106 |
+| ba55c8 | 35.61 | 0.964 | 0.073 |
+| c07692 | 38.05 | 0.980 | 0.052 |
+| c37109 | 22.17 | 0.686 | 0.292 |
+| c37726 | 25.54 | 0.839 | 0.193 |
+| c45589 | 27.41 | 0.890 | 0.135 |
+| cbd44b | 34.19 | 0.962 | 0.083 |
+| cc08c0 | 28.47 | 0.900 | 0.141 |
+| cd9c98 | 28.76 | 0.924 | 0.095 |
+| ceb252 | 33.90 | 0.958 | 0.084 |
+| d1b3a0 | 25.80 | 0.867 | 0.135 |
+| d3812a | 21.68 | 0.756 | 0.316 |
+| d3af82 | 32.58 | 0.942 | 0.091 |
+| d4fbeb | 26.72 | 0.893 | 0.094 |
+| d8de66 | 29.42 | 0.897 | 0.144 |
+| d904ae | 25.91 | 0.835 | 0.171 |
+| d9b637 | 24.59 | 0.792 | 0.202 |
+| d9f4c7 | 34.92 | 0.975 | 0.047 |
+| dac979 | 31.13 | 0.949 | 0.116 |
+| dafa9c | 23.86 | 0.811 | 0.170 |
+| ddfdcf | 29.41 | 0.938 | 0.080 |
+| ded5e4 | 32.58 | 0.930 | 0.166 |
+| df04f5 | 33.11 | 0.960 | 0.042 |
+| df29c2 | 35.71 | 0.964 | 0.061 |
+| df4f9d | 33.27 | 0.934 | 0.197 |
+| e5684b | 29.58 | 0.906 | 0.171 |
+| e78f8c | 30.91 | 0.945 | 0.054 |
+| e8ce51 | 27.98 | 0.932 | 0.124 |
+| e9360e | 26.19 | 0.885 | 0.146 |
+| eb4cf5 | 31.26 | 0.937 | 0.148 |
+| ec1e44 | 29.71 | 0.938 | 0.123 |
+| ec3057 | 29.22 | 0.926 | 0.092 |
+| ed1632 | 29.21 | 0.891 | 0.118 |
+| ef59aa | 29.83 | 0.866 | 0.139 |
+| f004c8 | 35.13 | 0.976 | 0.055 |
+| f477ff | 31.14 | 0.946 | 0.153 |
+| f71ac3 | 30.04 | 0.936 | 0.053 |
+| f7aaea | 28.44 | 0.929 | 0.086 |
+| fb2c04 | 28.12 | 0.909 | 0.110 |
+| fb3b73 | 24.34 | 0.773 | 0.210 |
+| ff5923 | 33.09 | 0.948 | 0.108 |
+
+</details>
+
+### Mip-NeRF 360
+
+| Scene | PSNR (dB) | SSIM | LPIPS |
+|---|---:|---:|---:|
+| bicycle | 26.30 | 0.810 | 0.163 |
+| bonsai | 33.26 | 0.955 | 0.160 |
+| counter | 29.70 | 0.927 | 0.159 |
+| garden | 28.36 | 0.887 | 0.087 |
+| kitchen | 32.64 | 0.941 | 0.105 |
+| room | 32.99 | 0.940 | 0.168 |
+| stump | 27.60 | 0.818 | 0.166 |
+
+## License
+
+This repository is released under the MIT License.
+
+## Citation
+
+```bibtex
+@article{li2025rlgs,
+  title={RLGS: Reinforcement Learning-Based Adaptive Hyperparameter Tuning for Gaussian Splatting},
+  author={Li, Zhan and Zhan, Huangying and Li, Changyang and Yan, Qingan and Xu, Yi},
+  journal={arXiv preprint arXiv:2508.04078},
+  year={2025}
+}
+```

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