Image-to-image cGAN

Published

Nov 21, 2016

Image-to-image cGAN is an AI model developed by University of California (UC) Berkeley (United States), first published in November 2016. It works in the vision and image generation domain, on tasks such as image generation and image-to-image.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 2.4M datapoints.

The reference paper has 22,297 citations.

Full record

Organization: University of California (UC) Berkeley
Country of organization: United States
Domain: Vision, Image generation
Task: Image generation, Image-to-image
Dataset size: 2.4M
Citations: 22,297

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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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