This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
The position of a world point’s solar shadow depends on its geographical location, the geometrical relationship between the orientation of the sunshine and the ground plane wher...
We present a new image morphing approach in which the output sequence is regenerated from small pieces of the two source (input) images. The approach does not require manual corre...
Eli Shechtman, Steve Seitz, Alex Rav-Acha, Michal ...
This paper is concerned with accuracy estimation of point trajectories in video sequences without ground truth information. This is an essential problem for many computer vision a...