Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control

Decentralized Model Reference Adaptive Control of Large Scale Interconnected Systems with Time-Delays in States and Inputs

This paper investigates the problem of decentralized model reference adaptive control (MRAC) for a class of large scale systems with time varying delays in interconnected terms and state and input delays. The upper bounds of the interconnection terms are considered to be unknown. Time varying delays in the nonlinear interconnection terms are bounded and nonnegative continuous functions and thei...

Model and Dictionary Guided Face Inpainting in the Wild

Simultaneous Cartoon and Texture Inpainting

Two minimization formulations were proposed in [Elad et.al. ACHA 05] to solve inpainting problems using two separate systems A1 and A2, where A1 can sparsely represent cartoons (the piecewise smooth part of the images) and A2 can sparsely represent textures (the oscillating pattern part of the images). An iterative algorithm is given there to find the minimizer of one of the formulations but th...

Face Inpainting with Local Linear Representations

A number of investigators have had success using domain specific prior knowledge to produce improved superresolution images of faces (“hallucinating faces”). These efforts address the scenario where a face image is obtained from a low-resolution camera. A related but less studied problem occurs when the missing information is the result of occlusion rather than low camera resolution, as in the ...

Texture Inpainting Using Efficient Gaussian

Inpainting consists in computing a plausible completion of missing parts of an image 4 given the available content. In the restricted framework of texture images, the image can be seen as a 5 realization of a random field model, which gives a stochastic formulation of image inpainting: on the 6 masked exemplar one estimates a random texture model which can then be conditionally sampled in 7 ord...