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models for MoreMNAS
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README.md

The repository gives the trained models MoreMNAS A,B,C and D.

How to reproduce & calculate metrics

$ python calculate.py --pb_path ./pretrained_model/MoreMNAS-A.pb
                      --save_path ./result/

Comparison of some state-of-the-art SR Models

Method MulAdds Params Set5 Set14 BSD100 Urban100
SRCNN 52.7G 57K 36.66/0.9542 32.42/0.9063 31.36/0.8879 29.50/0.8946
FSRCNN 6.0G 12K 37.00/0.9558 32.63/0.9088 31.53/0.8920 29.88/0.9020
VDSR 612.6G 665K 37.53/0.9587 33.03/0.9124 31.90/0.8960 30.76/0.9140
DRRN 6,796.9G 297K 37.74/0.9591 33.23/0.9136 32.05/0.8973 31.23/0.9188
MoreMNAS-A (ours) 238.6G 1039K 37.63/0.9584 33.23/0.9138 31.95/0.8961 31.24/0.9187
MoreMNAS-B (ours) 256.9G 1118K 37.58/0.9584 33.22/0.9135 31.91/0.8959 31.14/0.9175
MoreMNAS-C (ours) 5.5G 25K 37.06/0.9561 32.75/0.9094 31.50/0.8904 29.92/0.9023
MoreMNAS-D (ours) 152.4G 664K 37.57/0.9584 33.25/0.9142 31.94/0.8966 31.25/0.9191

Qualitative results

Here are some results of MoreMNAS-A on Set 14. The complete result can be generated from the above mentions command.

MoreMNAS-A set14 1

MoreMNAS-A set14 2

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