Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of
Orthogonal Diffusion Models
Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of
Orthogonal Diffusion Models
Recent advancements in 3D generation are predominantly propelled by improvements in 3D-aware image diffusion models which are pretrained on Internet-scale image data and fine-tuned on massive 3D data, offering the capability of producing highly consistent multi-view images. However, due to the scarcity of synchronized multi-view video data, it is impractical …