by Martina Haefeli | May 25, 2020 | Capture, Digital Humans, Machine Learning
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 Haefeli | May 25, 2020 | Capture, Digital Humans, Machine Learning
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 Haefeli | Mar 24, 2020 | Animation, AR/VR, Visual Computing
Rig-space Neural Rendering Our idea is to render the character in many different poses and views, and to train a deep neural network to render high resolution images, from the rig parameters directly. Marc 24, 2020arxiv.org Authors Dominik Borer...
by Martina Haefeli | Nov 4, 2019 | Video Processing, Visual Computing
Deep Generative Video Compression We propose an end-to-end, deep probabilistic modeling approach to compress low-resolution videos. Our approach builds upon variational autoencoder (VAE) models for sequential data and combines them with recent work on neural image...
by Martina Haefeli | Nov 1, 2019 | Machine Learning, Visual Computing
Differentiable Surface Splatting for Point-based Geometry Processing We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. November 1, 2019ACM SIGGRAPH Asia 2019 AuthorsYifan Wang (ETH Zurich)Serena Felice...
