by Martina Megaro | Aug 1, 2017 | Rendering, Visual Computing
Noise Reduction on G-Buffers for Monte Carlo Filtering We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and motion blur effects in geometric buffers (G-buffers) such as texture, normal and depth images. August 1,...
by Martina Megaro | Jul 30, 2017 | Story Technology, Visual Computing
Computational Narrative We present the potential of computational intelligence to empower authors and content creators in creating their own interactive animated stories. July 30, 2017ACM SIGGRAPH 2017 Courses Authors Mubbasir Kapadia (Rutgers University)...
by Martina Megaro | Jul 28, 2017 | Digital Fabrication, Robotics
Designing Cable-Driven Actuation Networks for Kinematic Chains and Trees In this paper, we present an optimization-based approach for the design of cable-driven kinematic chains and trees. July 28, 2017ACM SIGGRAPH / Eurographics Symposium on Computer Animation...
by Martina Megaro | Jul 23, 2017 | Video Processing, Visual Computing
Painting by Feature In this paper, we propose a reinterpretation of the brush and the fill tools for digital image painting. July 21, 2013ACM SIGGRAPH 2013 Authors Michal Lukac (CTU in Prague, FEE) Jakub Fiser (CTU in Prague, FEE) Jean-Charles Bazin (ETH...
by Martina Megaro | Jul 22, 2017 | Machine Learning, Story Technology, Visual Computing
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies In this paper, we study non-linear tensor factorization methods based on deep variational autoencoders. July 22, 2017IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017...
