ESRGAN
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Training a new model with different scaling factor
Hi there,
If I want to train a new ESRGAN model, a 2.5x upsampling/downsampling factor, for example, how do I get the corresponding pre-trained PSNR model?
I think you can use the weights of pre-trained X4 ESRGAN to initialize the X2.5 model, except the upsampling layer.
@chhsieh0309 have you successfully trained the model with 2.5x scale factor? I was able to train with scale factor of integer values (e.g. 2x, 4x), but not sure how to train a model with non-integer scale factor (e.g. 1.5x, 2.5x).
@chhsieh0309 have you successfully trained the model with 2.5x scale factor? I was able to train with scale factor of integer values (e.g. 2x, 4x), but not sure how to train a model with non-integer scale factor (e.g. 1.5x, 2.5x).
why not just use 4x and then downsample to 2.5