HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances

Text-to-image generative models can generate high-quality humans, but realism is lost when generating hands. Common artifacts include irregular hand poses, shapes, in-correct numbers of fingers, and physically implausible finger orientations.

Data and Resources

Cite this as

Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai (2024). Dataset: HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances. https://doi.org/10.57702/83772k0q

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2403.01693
Author Supreeth Narasimhaswamy
More Authors
Uttaran Bhattacharya
Xiang Chen
Ishita Dasgupta
Saayan Mitra
Minh Hoai
Homepage https://supreethn.github.io/research/handiffuser/index.html