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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.

Data and Resources

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

DOI retrieved: December 16, 2024

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
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Jing-Cheng Chang
Yuan-Hao Lee
Yu-Chiang Frank Wang