3D Scene Reconstruction on Tank&Temples benchmark leaderboard · SOTA2 Research

3D Scene Reconstruction on Tank&Temples

24.34PSNRSHTC

Evaluation Results

Method	Links
SHTC2025.05		24.34	0.845	0.191	5.19
FP-GS2025.05		24.32	0.811	0.185	7.32
HAC++2025.05		24.22	0.849	0.19	5.18
Context-GS2025.05		24.2	0.852	0.184	7.05
FP-Net2025.05		24.13	0.847	0.192	6.34
SizeGS2025.05		24.04	0.84	0.2	10.93
HAC2025.05		24.04	0.846	0.187	8.1
Scaffold-GS2025.05		23.96	0.853	0.177	86.5
LocoGS2025.05		23.89	0.854	0.16	12.34
CompGS2025.05		23.7	0.837	0.208	9.6
3DGS2025.05		23.69	0.844	0.178	431
NeuralGS2025.05		23.63	0.841	0.192	12.06
CodecGS2025.05		23.63	0.842	0.192	7.46
FCGS2025.05		23.62	0.839	0.184	33.6
Reduced3DGS2025.05		23.57	0.84	0.188	14
FCGS2025.05		23.48	0.833	0.193	18.8
Navaneet et al.2025.05		23.44	0.838	0.198	12.5
RDOGaussian2025.05		23.34	0.835	0.195	12.03
Compact3DGS2025.05		23.32	0.831	0.201	39.43
Compressed3D2025.05		23.32	0.832	0.194	17.28
MesonGS2025.05		23.32	0.837	0.193	16.99
EAGLES2025.05		23.28	0.835	0.203	28.99
SOG2025.05		23.15	0.828	0.198	9.3
LightGaussian2025.05		22.83	0.822	0.242	22.43
PUP 3D-GS2025.05		22.72	0.801	0.244	43.33
FlexGaussian2025.05		22.44	0.804	0.219	16.3