Wide Activation for Efficient and Accurate Image Super-Resolution

Wide Activation: A Simple Way to Make Low-Res Photos Look Sharper

Researchers show a small change that makes blurry images clearer without more slow work, and it feels like a neat shortcut for phone apps.
By giving networks more space to act before the decision step, wide activation helps details appear sharper even when model size and speed stay the same.
They also add a light filter trick called low-rank convolution to widen things more but not slow it down.
Training with weight normalization helped the deep networks learn steadier, it worked better than the usual ways for this task.
The final system, called WDSR, did great in a big image contest and made photos look cleaner while using similar or less compute.
That means phones and apps could deliver nicer pictures without burning battery or waiting long.
This idea is simple, and easy to test — a small shape change in the model gives noticeable gains, so expect sharper pics from tools that use this trick soon, many people will like that.

Read article comprehensive review in Paperium.net:
Wide Activation for Efficient and Accurate Image Super-Resolution

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