by Martina Megaro | Nov 12, 2016 | Visual Computing
Semi-situated Learning of Verbal and Nonverbal Content for Repeated Human-Robot Interaction We present PIP, an agent that crowdsources its own multimodal language behavior using a method we call semi-situated learning. November 12, 2016ICMI 2016 Authors...
by Martina Megaro | Nov 11, 2016 | Capture, VFX, Visual Computing
Corrective 3D Reconstruction of Lips from Monocular Video We quantitatively and qualitatively show that our monocular approach reconstructs higher quality lip shapes, even for complex shapes like a kiss or lip rolling than previous monocular approaches. November 11,...
by Martina Megaro | Nov 11, 2016 | Rendering, Visual Computing
Image-Space Control Variates for Rendering We propose an image-space (iterative) reconstruction scheme that employs control variates to reduce variance. November 11, 2016ACM SIGGRAPH Asia 2016 Authors Fabrice Rousselle (Disney Research) Wojciech Jarosz (Dartmouth...
by Martina Megaro | Nov 11, 2016 | Rendering, Visual Computing
Efficient Rendering of Heterogeneous Poly-Disperse Granular Media We address the challenge of efficiently rendering massive assemblies of grains within a forward path-tracing framework. November 11, 2016ACM SIGGRAPH Asia 2016 Authors Thomas Müller (Disney...
by Martina Megaro | Nov 11, 2016 | Capture, VFX
Model-Based Teeth Reconstruction In this paper, we, therefore, present the first approach for non-invasive reconstruction of an entire person-specific tooth row from just a sparse set of photographs of the mouth region. November 11, 2016ACM SIGGRAPH Asia 2016 ...
