The video accompanying our SIGGRAPH 2013 research paper: "Implicit Skinning: Real-Time Skin Deformation with Contact Modeling" Go find more at http://rodolphe-vaillant.fr/permalinks/implicit_skinning_project.php Related work on blending operators: https://vimeo.com/57928521 https://vimeo.com/25365676 Authors: Rodolphe Vaillant(1,2), Loïc Barthe(1), Gaël Guennebaud(3), Marie-Paule Cani(4), Damien Rhomer(5), Brian Wyvill(6), Olivier Gourmel(1) and Mathias Paulin(1) (1)IRIT - Université de Toulouse, (2)University of Victoria, (3)Inria Bordeaux, (4)LJK - Grenoble Universités - Inria, (5)CPE Lyon - Inria, (6)University of Bath Paper abstract: Geometric skinning techniques, such as smooth blending or dual-quaternions, are very popular in the industry for their high performances, but fail to mimic realistic deformations. Other methods make use of physical simulation or control volume to better capture the skin behavior, yet they cannot deliver real-time feedback. In this paper, we present the first purely geometric method handling skin contact effects and muscular bulges in real-time. The insight is to exploit the advanced composition mechanism of volumetric, implicit representations for correcting the results of geometric skinning techniques. The mesh is first approximated by a set of implicit surfaces. At each animation step, these surfaces are combined in real-time and used to adjust the position of mesh vertices, starting from their smooth skinning position. This deformation step is done without any loss of detail and seamlessly handles contacts between skin parts. As it acts as a post-process, our method fits well into the standard animation pipeline. Moreover, it requires no intensive computation step such as collision detection, and therefore provides real-time performances. Acknowledgments This work has been partially funded by the IM&M; project http://www.irit.fr/~Loic.Barthe/imm.php (ANR-11-JS02-007) and the advanced grant EXPRESSIVE from the European Research council. Partial funding also comes from the Natural Sciences and Engineering Research Council of Canada, the GRAND NCE, Canada and Intel Corps. Finally, this work received partial support from the Royal Society Wolfson Research Merit Award.