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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 pre-defined motion features like pose or facial landmarks.

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Cite this as

Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang (2024). Dataset: Dual-Motion Transfer GAN. https://doi.org/10.57702/rosf0b2z

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2102.13329
Author	Fu-En Yang
More Authors	Jing-Cheng Chang Yuan-Hao Lee Yu-Chiang Frank Wang