AI models
Symmetric Residual Encoder-Decoder Net
Published
Mar 30, 2016
Symmetric Residual Encoder-Decoder Net is an AI model developed by Nanjing University and University of Adelaide (China and Australia), first published in March 2016. 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 1.3B datapoints.
The reference paper has 1,184 citations.
Full record
- Organization
- Nanjing University, University of Adelaide
- Country of organization
- China, Australia
- Domain
- Vision, Image generation
- Task
- Image super-resolution
- Dataset size
- 1.3B
- Numerical format
- FP32
- Citations
- 1,184
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.
← All ai models