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UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation

Human generation has achieved significant progress. Non nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We propose to use multi-source datasets with various resolution images to jointly learn a high-resolution human generative model.

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Cite this as

Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Wayne Wu, Ziwei Liu (2024). Dataset: UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation. https://doi.org/10.57702/fjk9g9ey

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Jianglin Fu
More Authors	Shikai Li Yuming Jiang Kwan-Yee Lin Wayne Wu Ziwei Liu
Homepage	https://unitedhuman.github.io/