Add RLGS models, results and model card

eab0056 about 9 hours ago

7.39 kB

---
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}
}
```

	---
	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}
	}
	```