The present disclosure describes multi-stage image editing techniques to improve detail and
accuracy in edited images. An input image including a target region to be edited and an edit …

Embodiments are disclosed for video image interpolation. In some embodiments, video
image interpolation includes receiving a pair of input images from a digital video …

Various embodiments are directed to a Pose Correction Engine (“Engine”). The Engine
generates a reference image of the object of interest. The reference image portrays the …

A method and an electronic device for managing artifacts of an image includes: receiving an
input image and extracting multiple features from the input image. The multiple features …

A computer implemented method for generating synthetic training data to train a
convolutional neural network is described. The method consists of steps including receiving …

graphic insertions include: live insertion; replay/post-production insertions; and, more
recently, augmented reality insertions. All of these graphic insertions require an accurate …

Example aspects of the present disclosure are directed to systems and methods that enable
weakly-supervised learning of instance segmentation by applying a cut-and-paste technique …