AI models
OC-GAN (Visual Genome)
Published
Dec 3, 2020
OC-GAN (Visual Genome) is an AI model developed by Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, Microsoft Research and CIFAR AI Research (Canada and United States), first published in December 2020. It works in the image generation domain, on tasks such as image generation.
Epoch AI has no training-compute estimate for this model. Training ran on 4 NVIDIA V100.
Access: Unreleased. Its weights are not openly released.
Full record
- Organization
- Mila - Quebec AI (originally Montreal Institute for Learning Algorithms), University of Montreal / Université de Montréal, Microsoft Research, CIFAR AI Research
- Country of organization
- Canada, United States
- Domain
- Image generation
- Task
- Image generation
- Training hardware
- NVIDIA V100
- Chips used
- 4
- Training power draw
- 2.4 kW
- Model accessibility
- Unreleased
- Open weights
- No
More from Mila - Quebec AI (originally Montreal Institute for Learning Algorithms),University of Montreal / Université de Montréal,Microsoft Research,CIFAR AI Research
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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