Task
Other
E
eugenesiow/edsr-base
Other·eugenesiow· 619.5K· 14
transformers
apache-2.0
dataset:eugenesiow/Div2kdataset:eugenesiow/Set5dataset:eugenesiow/Set14dataset:eugenesiow/BSD100dataset:eugenesiow/Urban100arxiv:1707.02921
Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR) EDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper Enhanced Deep Residual Networks for Single Image Super-Resolution by Lim et al. (2017) and first released in this repository.
# pull & run locally
pip install mlforge-sdk && mlforge pull eugenesiow/edsr-base
pip install mlforge-sdk && mlforge pull eugenesiow/edsr-base
Model details
Provider
eugenesiow
Framework
transformers
Size
17 MB
License
apache-2.0
Downloads
619.5K
Likes
14
Paper
arXiv:1707.02921
Updated
2021-07-28
About eugenesiow/edsr-base
Enhanced Deep Residual Networks for Single Image Super-Resolution (EDSR) EDSR model pre-trained on DIV2K (800 images training, augmented to 4000 images, 100 images validation) for 2x, 3x and 4x image super resolution. It was introduced in the paper Enhanced Deep Residual Networks for Single Image Super-Resolution by Lim et al. (2017) and first released in this repository.