In this paper, our objective is to facilitate the creation of novel human poses by synthesizing images. Existing approaches commonly deform one single image, which often results i...
Cedric Vanaken, Chris Hermans, Tom Mertens, Fabian...
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
In this paper, we examine the octahedron as a parameterization scheme to represent environment maps in real-time rendering applications. We discuss two projection schemes and show...
In this work we recall attention to problems that arise in a client-server setting with server-side rendering and propose a practical method for accelerated high-quality render-st...
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
In this paper we address the problem of reconstructing a structurally simple surface representation from point datasets of scanned scenes as they occur for instance in city scanni...
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
No part of the economic community can now escape from the urgent issues related to global warming, carbon footprint and reducing energy consumption. Nevertheless, the construction ...