Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion

In volume-to-volume translations in medical images, existing models often struggle to capture the inherent volumetric distribution using 3D voxelspace representations, due to high computational dataset demands. We present Score-Fusion, a Figure 1: Comparison between TPDM (left) and Score-Fusion (right). Score-Fusion learns to ensemble pre-trained diffusion models with a 3D model, effectively utilizing 3D representations. Our model thus shows better 3D realism and demonstrates superior accuracy and realism metrics.