ConvDecoder
- class deepinv.models.ConvDecoder(img_shape, in_size=(4, 4), layers=7, channels=256)[source]
Bases:
Module
Convolutional decoder network.
The architecture was introduced in “Accelerated MRI with Un-trained Neural Networks”, and it is well suited as a deep image prior (see
deepinv.models.DeepImagePrior
).- Parameters:
- forward(x, scale_out=1)[source]
Define the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
Examples using ConvDecoder
:
Reconstructing an image using the deep image prior.
Reconstructing an image using the deep image prior.