by Martina Megaro | Jun 16, 2020 | Capture, Machine Learning, VFX
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection Facial landmark detection is a fundamental task for many consumer and high-end applications and is almost entirely solved by machine learning methods today. June 16, 2020IEEE Conference on...
by Martina Megaro | May 25, 2020 | Capture, Machine Learning, VFX
Fast Nonlinear Least Squares Optimization of Large-Scale Semi-Sparse Problems We introduce a novel iterative solver for nonlinear least squares optimization of large-scale semi-sparse problems. May 25, 2020Eurographics 2020 Authors Marco Fratarcangeli...
by Martina Megaro | May 25, 2020 | Capture, Machine Learning, VFX
Facial Expression Synthesis using a Global-Local Multilinear Framework We present a practical method to synthesize plausible 3D facial expressions that preserve the identity of a target subject. May 25, 2020Eurographics 2020 Authors Mengjiao Wang...
by Martina Megaro | Jul 12, 2019 | Capture, VFX, Visual Computing
Accurate Markerless Jaw Tracking for Facial Performance Capture We present the first method to accurately track the invisible jaw based solely on the visible skin surface, without the need for any markers or augmentation of the actor. July 12, 2019ACM Siggraph 2019...
by Martina Megaro | May 6, 2019 | Capture, VFX, Visual Computing
Practical Person-Specific Eye Rigging We present a novel parametric eye rig for eye animation, including a new multi-view imaging system that can reconstruct eye poses at submillimeter accuracy to which we fit our new rig. May 6, 2019Eurographics 2019 Authors...
by Martina Megaro | Apr 30, 2019 | Rendering, VFX, Visual Computing
Analysis of Sample Correlations for Monte Carlo Rendering In this paper, we aim at providing a comprehensive and accessible overview of the techniques developed over the last decades to analyze such correlations, relate them to error in integrators, and understand...
