by Martina Haefeli | Nov 11, 2016 | Capture, Digital Humans, 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 Haefeli | 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 Haefeli | 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 Haefeli | Nov 11, 2016 | Capture, Digital Humans
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 ...
by Martina Haefeli | Oct 25, 2016 | Capture, Digital Humans, Visual Computing
Synthetic Prior Design for Real-Time Face Tracking Synthetic training significantly reduces the capture and annotation burden and in theory allows generation of an arbitrary amount of data. October 25, 20163D International Conference on 3D Vision (3DV) 2016 ...
