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Generative Model Evaluation

The dataset used in this paper for generative model evaluation, consisting of 4.1M images from 41 state-of-the-art generative models spanning diffusion models, GANs, variational autoencoders (VAEs), normalizing flows, transformer-based models, and consistency models.

Data and Resources

Cite this as

George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem (2024). Dataset: Generative Model Evaluation. https://doi.org/10.57702/on6opi9k

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.2306.04675
Author George Stein
More Authors
Jesse C. Cresswell
Rasa Hosseinzadeh
Yi Sui
Brendan Leigh Ross
Valentin Villecroze
Zhaoyan Liu
Anthony L. Caterini
J. Eric T. Taylor
Gabriel Loaiza-Ganem
Homepage https://github.com/layer6ai-labs/dgm-eval