Mastering Motion Dynamics in Animation with Temporal Transformers | HackerNoon

Authors:

(1) Yuwei Guo, The Chinese University of Hong Kong;

(2) Ceyuan Yang, Shanghai Artificial Intelligence Laboratory with Corresponding Author;

(3) Anyi Rao, Stanford University;

(4) Zhengyang Liang, Shanghai Artificial Intelligence Laboratory;

(5) Yaohui Wang, Shanghai Artificial Intelligence Laboratory;

(6) Yu Qiao, Shanghai Artificial Intelligence Laboratory;

(7) Maneesh Agrawala, Stanford University;

(8) Dahua Lin, Shanghai Artificial Intelligence Laboratory;

(9) Bo Dai, The Chinese University of Hong Kong and The Chinese University of Hong Kong.

To model motion dynamics along the temporal dimension on top of a pre-trained T2I, we must 1) inflate the 2-dimensional diffusion model to deal with 3-dimensional video data and 2) design a sub-module to enable efficient information exchange along the temporal axis.