Questions tagged [upsampling]
6 questions
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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 available for upsampling are nearest neighbor…
hanugm
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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 of 2. The resulting prediction maps are then…
banikr
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Can a convolution learn to generate fine details?
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". This makes sense to me when the images are complex…
Soltius
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Seeking advice for MLP architectures and training strategies for texture reconstruction (mipmap upscaling) focused on residual compression
I am working on a project involving texture compression and reconstruction, specifically targeting mipmap upscaling for game development assets. I'm encountering challenges in achieving the desired prediction accuracy and am seeking advice on neural…
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Why are video game upscaling models based on convolutional networks?
Why they use such networks, even through GANs and diffusion models can also be used for image upscaling? Examples of such models include Nvidia DLSS and AMD FidelityFX Super Resolution (FSR).
user86196
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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 the role of the word sampling in the words…
hanugm
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