Kernel interpolation with a constant scaling factor enables Stable Diffusion to produce higher-resolution images without training and extends to general neural networks with small accuracy drops.
Shadow-enlightened image outpainting
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Supersampling Stable Diffusion and More: An Approach for Interpolating Neural Networks Using Common Interpolation Methods
Kernel interpolation with a constant scaling factor enables Stable Diffusion to produce higher-resolution images without training and extends to general neural networks with small accuracy drops.