Abstract: A device comprising at least one processing logic configured for: obtaining an input vector representing an input data sample; until a stop criterion is met, performing successive iterations of: using an autoencoder trained using a set of reference vectors to encode the input vector into a compressed vector, and decode the compressed vector into a reconstructed vector; calculating a reconstruction loss between the reconstructed and the input vectors, and a gradient of the reconstruction loss; updating said input vector for the subsequent iteration using said gradient.

Abstract: The disclosure relates to a method for transferring a style of a reference visual object to an input visual object. According to an embodiment, the method includes finding a correspondence map assigning to a point in the input visual objet a corresponding point in the reference visual object, the finding of a correspondence map comprising spatially adaptive partitioning of the input visual object into a plurality of regions, the partitioning depending on the reference and input visual objects. The disclosure also relates to corresponding electronic device, computer readable program product and computer readable storage medium.

Abstract: One general aspect for motion-based video tonal stabilization uses a keyframe and motion estimation techniques to determine the level of spatial correspondence between input images and the keyframe. When the level of spatial correspondence is high, tonal stabilization is performed through regression and power law tonal transformation to minimize the color differences between images caused by automatic camera parameters without a priori knowledge of the camera model. Tonal error accumulation is reduced by using long-term tonal propagation.