Diffusion2: Efficient Generation of Dynamic 3D Content via Score Composition of Orthogonal Diffusion Models

Diffusion2 leverages the geometric consistency and temporal smoothness priors from pretrained video and multi-view diffusion models to directly sample dense multi-view and multi-frame images, which can then be employed to optimize continuous 4D representations.