Diffusion2: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models
Published in
arXiv.org(2023)External Links:
TL
TL;DR
This paper presents Diffusion 2, a novel framework for dynamic 3D content creation that leverages the knowledge about geometric consistency and temporal smoothness from these models to directly sample dense multi-view and multi-frame images which can be employed to optimize continuous 4D representation.