This paper introduces a novel approach to in-painting where the identity of the object to remove or change is preserved and accounted for at inference time: Exemplar GANs (ExGANs). ExGANs are a type of conditional GAN that utilize exemplar information to produce high-quality, personalized in-painting results. We propose using exemplar information in the form of a reference image of the region t...

Implicit painting is a non photorealistic rendering method for painting implicit surfaces The method is based on the fact that when a di erence equation is applied to a set of particles these particles will move in D space The motion of the particles is viewed as the motion of the hands of several painters and the trajectories of the particles as long unbroken brush strokes over the implicit su...

Today industrial automation of spray painting is limited to high part volumes and robot trajectories that are programmed by off-line programming and manual teach-in. This paper presents an approach that uses range image data to obtain the geometry of an unknown part and to automatically generate the robot spray painting trajectories. Laser strip range sensors are installed in front of the paint...

We describe a painting machine and associated algorithms. Our modified industrial robot works with visual feedback and applies acrylic paint from a repository to a canvas until the created painting resembles a given input image or scene. The color differences between canvas and input are used to direct the application of new strokes. We present two optimization-based algorithms that place such ...

Motivated by a new way of visualizing hypergraphs, we study the following problem. Consider a rectangular grid and a set of colors χ. Each cell s in the grid is assigned a subset of colors χs ⊆ χ and should be partitioned such that for each color c ∈ χs at least one piece in the cell is identified with c. Cells assigned the empty color set remain white. We focus on the case where χ = {red, blue...