-
Dual-Motion Transfer GAN
Generating videos with content and motion variations is a challenging task in computer vision. The proposed model is trained in an end-to-end manner, without the need to utilize... -
MotionFollower
The dataset used in the paper is not explicitly described, but it is mentioned that the authors collect 3K videos (60-90 seconds long) from the internet to train their model. -
Consistent4D
The dataset used in the paper for video-to-4D generation and motion transfer.