MambaVF: State Space Model for Efficient Video Fusion
MambaVF is an efficient video fusion framework that replaces computationally expensive optical flow and feature warping with a state space model (SSM). It uses a dual-stream architecture and an innovative 8-way spatio-temporal scanning mechanism to implicitly capture long-range temporal dynamics. This results in state-of-the-art performance while significantly reducing parameters and computational cost.