  The image relighting task of transferring illumination conditions between two
images offers an interesting and difficult challenge with potential
applications in photography, cinematography and computer graphics. In this
report we present methods that we tried to achieve that goal. Our models are
trained on a rendered dataset of artificial locations with varied scene
content, light source location and color temperature. With this dataset, we
used a network with illumination estimation component aiming to infer and
replace light conditions in the latent space representation of the concerned
scenes.
