Technical Papers
Faces
Monday, 11 August 3:45 PM - 5:00 PM | Vancouver Convention Centre, East Building, Ballroom B-C Session Chair: Mark Pauly, École polytechnique fédérale de Lausanne
Facial Performance Enhancement Using Dynamic Shape-Space Analysis
The facial performance of an individual is inherently rich in subtle deformation and timing details. This technique adds fine-scale spatio-temporal details and expressiveness to low-resolution art-directed facial performances, demonstrated on various forms of input.
Amit Bermano
Disney research Zürich, ETH Zürich
Derek Bradley
Disney Research Zürich
Thabo Beeler
Disney Research Zürich
Fabio Zund
Disney Research Zürich, ETH Zürich
Derek Nowrouzezahra
Université de Montréal
Ilya Baran
Disney Research Zürich
Olga Sorkine-Hornung
ETH Zürich
Hanspeter Pfister
Harvard University
Robert W. Sumner
Disney Research Zürich
Bernd Bickel
Disney Research Zürich
Markus Gross
Disney Research Zürich, ETH Zürich
Controllable High-Fidelity Facial Performance Transfer
This paper introduces a novel facial expression transfer and editing technique for high-fidelity facial animation data. The key idea is to decompose high-fidelity facial performances into large-scale facial deformation and fine-scale facial details, and transfer and edit them appropriately to reconstruct the desired retargeted animation.
Feng Xu
Microsoft Research Asia
Yilong Liu
Tsinghua University
Jinxiang Chai
Texas A&M University
Xin Tong
Microsoft Research Asia
Displaced Dynamic Expression Regression for Real-Time Facial Tracking and Animation
Introducing a calibration-free approach to real-time facial tracking and animation with a single video camera. The approach can robustly handle fast motions, large head rotations, exaggerated expressions, and large lighting changes.
Chen Cao
Zhejiang University
Qiming Hou
Zhejiang University
Kun Zhou
Zhejiang University
Rigid Stabilization of Facial Expressions
This paper presents the first automatic method to factor out rigid transformation from facial scans, which achieves professional-quality results on par with manual stabilization. The method stabilizes the facial expressions by explicitly aligning them to an estimate of the underlying skull using anatomically motivated constraints.
Thabo Beeler
Disney Research Zürich
Derek Bradley
Disney Research Zürich