Abstract: Deep 4 learning (DL)-based single image super-resolution (SISR) for low-resolution (LR) images typically aims to recover a high-resolution (HR) image from its LR version due to downsampling ...
Abstract: Single-image super-resolution (SISR) is essential for improving the extraction of useful information from images captured in the real world. Most existing super-resolution methods generally ...
A chair can still look like a chair even when its surface is reduced to a sparse cloud of points. Humans are remarkably good ...
Lyra 2.0 is Nvidia’s framework for generating persistent, explorable 3D scenes from one image. Here is what it is, how it ...
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