Video Motion Magnification on Real-world Datasets benchmark leaderboard · SOTA2 Research

Video Motion Magnification on Real-world Datasets

0.7475MANIQA Score (Baby Scene)GeoDiffMM

Evaluation Results

Method	Links
GeoDiffMM2025.12		0.7475	0.7129	0.7166	0.7569	0.7581	0.7848	0.6833	0.6442	0.7029	0.6861	0.6477	0.7222	0.7045
SelfMM2025.12		0.746	0.6901	0.7093	0.7286	0.7233	0.7627	0.6592	0.6242	0.6737	0.6614	0.6043	0.6987	0.6894
FD4MM2025.12		0.7338	0.678	0.7125	0.708	0.6938	0.7721	0.6633	0.6345	0.6946	0.6206	0.5422	0.7185	0.6417
AxialMM2025.12		0.7309	0.6826	0.6731	0.7167	0.7356	0.7584	0.6737	0.6377	0.6731	0.6568	0.6349	0.647	0.6535
Anisotropy2025.12		0.7124	0.6535	0.6835	0.6926	0.6765	0.7423	0.6289	0.6199	0.6482	0.6188	0.5164	0.6833	0.629
Jerk-Aware2025.12		0.7089	0.6498	0.6826	0.6739	0.6706	0.741	0.6255	0.6176	0.6415	0.617	0.5141	0.6768	0.6281
Acceleration2025.12		0.7081	0.6401	0.6786	0.6432	0.6663	0.7338	0.6212	0.6049	0.6342	0.6145	0.5096	0.6592	0.6182
LBVMM2025.12		0.7069	0.6537	0.6744	0.6873	0.6744	0.7532	0.632	0.6155	0.6415	0.6163	0.513	0.7018	0.6283
LNVMM2025.12		0.6715	0.6516	0.6742	0.6949	0.6436	0.7665	0.6521	0.6088	0.6407	0.6074	0.508	0.7146	0.6205
MDLMM2025.12		0.6571	0.6551	0.682	0.6946	0.6556	0.7644	0.6558	0.6087	0.6394	0.6105	0.5195	0.7183	0.6293