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Upsamples each channel of the input to a higher rate by inserting L-1 zeros between samples. Filters each channel of the upsampled data using a direct-form FIR filter. The block uses a polyphase filter implementation because it is more efficient than straightforward upsample-then-filter algorithms.

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qualitative comparison:bicubic upsampling, FSRNet, FSRGAN,pulse(×8), pulse(×64). Photorealistic single image super-resolution using a generative adversarial network. 对stylegan的latent做Gaussian prior. [5]Compressed sensing using generative models.

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Generally goes by Cosmogyral. Tends to ramble. Mishmash of animals, activism, things that I find amusing, and whatever I'm obsessing over at the moment.

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PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. The paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling" and its source code ...Benefits of Overparameterization in Single-Layer Latent Variable Generative Models: 182: ... via Self-Supervised Learning ... space for sample efficient exploration:

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Benefits of Overparameterization in Single-Layer Latent Variable Generative Models: 182: ... via Self-Supervised Learning ... space for sample efficient exploration:

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