Abstract Systems and methods perform non-parametric texture synthesis of arbitrary shape
and/or material data mimicking input exemplar data in accordance with embodiments of the …

Digital image completion by learning generation and patch matching jointly is described.
Initially, a digital image having at least one hole is received. This holey digital image is …

Digital image completion using deep learning is described. Initially, a digital image having at
least one hole is received. This holey digital image is provided as input to an image …

A computer-implemented method for training a convolutional neural network (CNN) is
presented. The method includes extracting coordinates of corresponding points in the first …

Predicting patch displacement maps using a neural network is described. Initially, a digital
image on which an image editing operation is to be performed is provided as input to a …

Techniques and systems are described for style-aware patching of a digital image in a
digital medium environment. For example, a digital image creation system generates style …

Appearance transfer techniques are described in the following. In one example, a search
and vote process is configured to select patches from the image exemplar and then search …

Appearance transfer techniques are described in the following that maintain temporal
coherence between frames. In one example, a previous frame of a target video is warped …

Digital image completion using deep learning is described. Initially, a digital image having at
least one hole is received. This holey digital image is provided as input to an image …

Predicting patch displacement maps using a neural network is described. Initially, a digital
image on which an image editing operation is to be performed is provided as input to a …