Diffusion²: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models,
Zeyu Yang*, Zijie Pan*, Chun Gu, Li Zhang
Fudan University
Arxiv preprint
This repository is the official implementation of "Diffusion²: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models". In this paper, we propose to achieve 4D generation from directly sampling the dense multi-view multi-frame observation of dynamic content by composing the estimated score of pretrained video and multi-view diffusion models that have learned strong prior of dynamic and geometry.
@article{yang2024diffusion,
title={Diffusion²: Dynamic 3D Content Generation via Score Composition of Orthogonal Diffusion Models},
author={Yang, Zeyu and Pan, Zijie and Gu, Chun and Zhang, Li},
journal={arXiv preprint 2404.02148},
year={2024}
}