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Deep Parametric Indoor Lighting Estimation
We present a method to estimate lighting from a single image of an indoor scene.
Learning to Become an Expert: Deep Networks Applied To Super-Resolution Microscopy
More specifically, we are proposing a system based on a deep neural network that can provide a quantitative quality measure of a STED image of neuronal structures given as input.
Learning to Predict Indoor Illumination from a Single Image
We propose an automatic method to infer high dynamic range illumination from a single, limited field-of-view, low dynamic range photograph of an indoor scene.
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