2026
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
CVPR 2026
Modality gap significantly restricts the effectiveness of multimodal fusion. Previous methods often use techniques such as diffusion models and adversarial learning to reduce the modality gap, but they typically focus on one-to-one alignment without exposing the data points of the source modality to