Deeply-recursive ConvNet

Published

Nov 11, 2016

Deeply-recursive ConvNet is an AI model developed by Seoul National University (South Korea), first published in November 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.

The reference paper has 2,744 citations.

Full record

Organization: Seoul National University
Country of organization: South Korea
Domain: Vision, Image generation
Task: Image super-resolution
Citations: 2,744