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WGAN (Wasserstein GAN)

Published
Dec 6, 2017

WGAN (Wasserstein GAN) is an AI model developed by Facebook AI Research and Courant Institute of Mathematical Sciences (United States and France), first published in December 2017. It works in the image generation domain, on tasks such as image generation.

Epoch AI has no training-compute estimate for this model.

Access: Unreleased. Its weights are not openly released.

Full record
Organization
Facebook AI Research, Courant Institute of Mathematical Sciences
Country of organization
United States, France
Domain
Image generation
Task
Image generation
Model accessibility
Unreleased
Open weights
No
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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