Questions tagged [upsampling]
The upsampling tag has no usage guidance.
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Can a convolution learn to generate fine details? [closed]
I'm trying to get a convolutional autoencoder to reconstruct images of a dataset with crisp details.
I've read in a couple places that convolutional autoencoders "naturally produce blurry images&...
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Given the high resolution signal and the low pass filter (kaiser filter), is there a way to reconstruct the low resolution signal?
When we upsampling a discrete 1d signal by 2x, we first interleave the signal by 0, then pass through a low pass filter.
low resolution signal [x1, x2, x3, x4] -> interleave 0 -> [x1, 0, x2, 0, ...
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What is the role of the word sampling in upsampling and downsampling?
Upsampling and downsampling are highly used in deep learning algorithms that involve convolutional neural networks.
Upsampling increases the size downsampling decreases the size of tensors.
What is ...
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Where can I read about upsampling methods in detail?
In deep learning, we encounter the upsample blocks several times, especially when we deal with images.
Consider the following statements from description regarding UPSAMPLE in PyTorch
The algorithms ...
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What does 'downsampling' and 'upsampling' mean in coarse-to-fine segmentation?
The paper here in section 2.1 Coarse-to-fine prediction:
To increase the field of view presented to the CNN and reduce the
redundancy among neighboring voxels, each image is downsampled by a factor ...
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