Novel View Synthesis on Mip-NeRF 360 (PSNR, SSIM, LPIPS)

29.925PSNRDenoising-GS

Evaluation Results

Method
Denoising-GS2026.05	29.925	0.897	0.142
3DGS-MCMC2026.05	29.893	0.896	0.186
3D-HGS2026.05	29.772	0.881	0.162
Mip-Splatting2026.05	29.456	0.889	0.149
Pixel-GS2026.05	29.454	0.886	0.159
GS-LPM2026.05	29.378	0.887	0.16
Vanilla 3DGS2026.05	29.258	0.88	0.168
MMGS-B2026.05	29.17	0.885	0.184
DashGaussian2026.05	29.12	0.872	0.186
3DGS2026.05	29.06	0.87	0.185
Mini-splatting2026.05	29.02	0.869	0.17
Taming 3DGS2026.05	28.93	0.862	0.204
FastGS2026.05	28.91	0.864	0.207
Speedy-splat2026.05	28.89	0.869	0.198
MMGS2026.05	28.89	0.861	0.215
GES2026.05	28.766	0.865	0.196
Variational-3DGS2026.05	28.744	0.871	0.185
Taming-3dgs2026.05	28.69	0.852	0.223
AbsGS2026.05	28.645	0.859	0.185
GADA2026.07	28.62	0.84	0.179
Zip-NeRF2026.06	28.54	0.828	0.189
GHAP2026.05	28.52	0.856	0.219
IBGS2026.07	28.29	0.831	0.191
ACE-GS2026.06	28.1	0.821	0.215
3DGS-MCMC2026.07	27.98	0.835	0.224
Scaffold-GS2026.06	27.76	0.812	0.226
Scaffold-GS2026.07	27.71	0.813	0.262
RadSplat2026.05	27.54	0.825	0.239
3DGS2026.06	27.54	0.813	0.221
Mip-Splatting2026.07	27.49	0.815	0.258
AbsGS2026.07	27.49	0.82	0.191
3DGS2026.06	27.48	0.815	0.214
3DGS2026.04	27.46	81.5	0.215
Compact-3DGS2026.05	27.46	0.816	0.246
3DGS2026.07	27.43	0.814	0.257
Octree-GS2026.07	27.39	0.811	0.264
Gaussians on a Diet2026.04	27.3	80.9	0.234
Mini-Splatting2026.04	27.26	82.2	0.217
Taming 3DGS2026.04	27.22	79.5	0.26
Reducing-3DGS2026.04	27.21	81.1	0.225
3D Gaussian Splatting2026.06	27.21	0.815	0.214
Taming 3DGS2026.07	27.21	0.793	0.305
PGSR2026.07	27.2	0.819	0.233
VEDAL2026.06	27.17	0.81	0.219
EAGLES2026.04	27.15	81.1	0.231
LightGaussian2026.05	27.15	0.817	0.253
MaskGaussian2026.06	27.15	0.808	0.222
PUP 3D-GS2026.06	27.12	0.807	0.224
Mini-Splatting2026.06	27.05	0.804	0.228
LightGaussian2026.06	27.03	0.801	0.245
Compact3DGS2026.06	27.01	0.798	0.247
Compact-3DGS2026.04	26.96	79.7	0.244
Compact3D2026.06	26.95	0.801	0.231
Speedy-Splat2026.06	26.89	0.782	0.295
LightGaussian2026.06	26.82	0.798	0.237
2DGS2026.07	26.81	0.796	0.297
Meshtryoshka2026.06	24.34	0.686	0.367
Meshtryoshka2026.06	24.3	0.684	0.369
Sensitivity-based 3DGS coreset pruning2026.07	20.18	0.664	0.343
GHAP2026.07	19.78	0.564	0.425
PUP2026.07	19.4	0.665	0.337
Sensitivity-based 3DGS coreset pruning2026.07	19.3	0.629	0.374
GHAP2026.07	18.54	0.521	0.454
Sensitivity-based 3DGS coreset pruning2026.07	18.16	0.58	0.417
Sensitivity-based 3DGS coreset pruning2026.07	18.16	0.58	0.417
Trim2026.07	18.01	0.569	0.384
PUP2026.07	17.75	0.612	0.375
GHAP2026.07	16.76	0.458	0.494
GHAP2026.07	16.76	0.458	0.494
Sensitivity-based 3DGS coreset pruning2026.07	16.52	0.506	0.484
Trim2026.07	16.33	0.501	0.426
PUP2026.07	15.79	0.535	0.429
PUP2026.07	15.79	0.535	0.429
Sensitivity-based 3DGS coreset pruning2026.07	15.53	0.463	0.527
Unif2026.07	14.85	0.487	0.45
Trim2026.07	14.45	0.413	0.48
Trim2026.07	14.45	0.413	0.48
GHAP2026.07	14.15	0.361	0.556
Unif2026.07	14.04	0.446	0.478
Sensitivity-based 3DGS coreset pruning2026.07	13.97	0.396	0.6
Sensitivity-based 3DGS coreset pruning2026.07	13.97	0.396	0.6
PUP2026.07	13.49	0.416	0.508
Unif2026.07	13.16	0.391	0.516
Unif2026.07	13.16	0.391	0.516
GHAP2026.07	12.53	0.295	0.595
PUP2026.07	12.33	0.344	0.554
Trim2026.07	12.19	0.297	0.555
Unif2026.07	12.02	0.308	0.569
Unif2026.07	11.45	0.261	0.596
Trim2026.07	11.06	0.235	0.598
PUP2026.07	10.67	0.227	0.624
PUP2026.07	10.67	0.227	0.624
Unif2026.07	10.27	0.174	0.642
Unif2026.07	10.27	0.174	0.642
GHAP2026.07	10.19	0.177	0.664
GHAP2026.07	10.19	0.177	0.664
Trim2026.07	9.58	0.136	0.661
Trim2026.07	9.58	0.136	0.661