Do you have any suggestion on implementing this in caffe

[gaopeng-eugene]

No description provided.

[xiaoshidai]

Have you implemented this model on caffe?

[timothybrooks]

I too am interested in using an implementation of this in Caffe. Are either of you working on one or aware of any useful/related resources?

[IMG-PRCSNG]

You can write this as a python layer in caffe using numpy. Check out Caffe's python layer support. Numpy and TF are almost interchangeable in terms of the functions used in the operator. Sadly, the backward pass must also be implemented but it is fairly easy. You just have to do the operations in reverse. I am starting to write it, will post a link if I finish it.

[timothybrooks]

I found a pytorch implementation here: https://github.com/pytorch/examples/tree/master/super_resolution
As well as pytorch -> caffe conversion here: https://zhanghang1989.github.io/Torch2CaffeConverter/
You may just be able to convert it, although I have not yet tried it out myself. I'll let you know if make progress as well--thanks for the help!

[IMG-PRCSNG]

@timothybrooks This is my attempt at porting. I have tested the layer in a standalone fashion and have attached a script as well so that you can also test with various inputs. If you are interested do check and let me know if there are any mistakes.

[timothybrooks]

Thanks! I will definitely try it out.

[suke27]

is it based on ESPCN?