AI models
Residual Dense Network
Published
Feb 24, 2018
Residual Dense Network is an AI model developed by Northeastern University and University of Rochester (United States), first published in February 2018. It works in the vision and image generation domain, on tasks such as image super-resolution.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 262.1M datapoints.
The reference paper has 3,857 citations.
Full record
- Organization
- Northeastern University, University of Rochester
- Country of organization
- United States
- Domain
- Vision, Image generation
- Task
- Image super-resolution
- Dataset size
- 262.1M
- Numerical format
- FP32
- Citations
- 3,857
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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