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The image relighting task of transferring illumination conditions between twoimages offers an interesting and difficult challenge with potentialapplications in photography, cinematography and computer graphics. In thisreport we present methods that we tried to achieve that goal. Our models aretrained on a rendered dataset of artificial locations with varied scenecontent, light source location and color temperature. With this dataset, weused a network with illumination estimation component aiming to infer andreplace light conditions in the latent space representation of the concernedscenes.

Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme