Advanced Tools and Framework for Historical Film Restoration
We revisit some key steps of this workflow and propose semiautomatic methods for performing them.
An Event-Centric Approach to Authoring Stories in Crowds
We present a graphical authoring tool for creating complex narratives in large, populated areas with crowds of virtual humans.
Real-time Physics-based Motion Capture with Sparse Sensors
We propose a framework for motion capture using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units.
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.
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.
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.
Image-Space Control Variates for Rendering
We propose an image-space (iterative) reconstruction scheme that employs control variates to reduce variance.
Evaluating Accessible Graphical Interfaces for Building Story Worlds
We present an accessible graphical platform for content creators and end users to create a story world, populate it with smart characters and objects, and define narrative events that can be used to author digital stories.
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.
Point Cloud Noise and Outlier Removal for Image-Based 3D Reconstruction
We present a simple and effective method for removing noise and outliers from such point sets.
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